Symposiums (virtual): Monday, December 5, 2022 (2023)

*All times are GRT (GMT-3)

MONDAY, DECEMBER 5 8:00 - 9:30


DADEs: 5G Dual-Adaptive Delay-Aware e Energy-Saving System mit Tandem-Lernen

Sheng Lin (TianJin University, China); Chao Qiu, Jingchao Tan und Xiaofei Wang (Tianjin University, China); Yajun Yang (TianJin University, China); Ying He (Shenzhen University, China); Post und Telekommunikation, China)

Towards green housing systems: is collaboration the way forward?

Ashutosh Balakrishnan and Swades De (Indian Institute of Technology Delhi, India); Li-Chun Wang (National Yang Ming Chiao Tung University, Taiwan)

Green federated learning through energy-conscious customer selection

Rana Albelaihi, Liangkun Yu, Warren D. Craft and Xiang Sun (University of New Mexico, USA); CG Wang (IDCC, USA); Robert Gazda (InterDigital, LLC, USA)

A real-time scalable video distribution strategy based on Dynamic Coalition and D2D Streaming

Chenyan Liu (Hazhong University of Science and Technology, China); Wei Wang (Hazhong University of Science and Technology, China); Rui Dai (University of Cincinnati, USA); Hao Nie and Peng Xu (Hazhong University of Science and Technology, China)

Spectrum efficiency design for smart IoT systems based on reflective surface

Anh Tu Le (Industrial University of Ho Chi Minh City, Vietnam); Dinh-Thuan Do (University of Colorado Denver, USA); Haotong Cao (Hong Kong Polytechnic University, Hong Kong); Sahil Garg (Resilient Machine Learning Institute (ReMI), Canada); Georges Kaddoum (ETS School of Engineering, University of Quebec, Canada); Shahid Mumtaz (Institute of Telecommunications, Portugal)


Physical layer security enabled two-tier AP selection for compute offload

Yu Yan, Tao Jing, Qinghe Gao, Yingzhen Wu e Xiaoxuan Wang (Beijing Jiaotong University, China)

Signal-independent RFF identification for LTE mobile devices via conjoint deep learning

Yanjin Qiu e Linning Peng (Universidade do Sudeste, China); Junqing Zhang (Universidade de Liverpool, Reino Unido (Grã-Bretanha)); Ming Liu (Beijing Jiaotong University & Beijing Key Lab of Transportation Data Analysis and Mining, China); FU e Hu Aiqun (Universidade do Sudeste, China)

RIDS: Real-time intrusion detection system for WPA3-enabled corporate networks

Rahul Saini (IIT Bhilai, India); Debajyoti Halder (Instituto Indiano de Tecnologia Bhilai, India); Anand Baswade (Instituto Indiano de Tecnologia Bhilai (IIT Bhilai), India)

Incentive routing design for covert communications in decentralized multi-hop wireless networks

Meng Xie (Xidian University, China); Jia Liu and Hiroki Takakura (National Institute of Informatics, Japan); Yang Xu and Zhao Li (Xidian University, China); Norio Shiratori (Chuo University, Japan)

Exact relationship between throughput and stealth for covert communications

Daizhong Yu, Lin Yang, Jiawei Liu und Guangrong Yue (China University of Electronic Science and Technology, China)


Deep neural network dynamic adversarial attacks for edge-based IoT devices

Mohammed Ayyat, Tamer Nadeem und Santosh Nukavarapu (Virginia Commonwealth University, EUA)

Crowdsensing poison attacks in various areas

Rin Fujimoto (Universität Fukuoka, Japão); Noriaki Kamiyama (Universität Ritsumeikan, Japão)

A model based on contradictory learning to detect Tor malware traffic

Xiaoyan Hu, Yishu Gao, Guang Cheng und Hua Wu (Southeast University, China), Ruidong Li (Kanazawa University, Japão)

Semantic Preservation Adversarial Attack Generation with Autoencoder and Genetic Algorithm

Simon Yusuf Enoch, Xinyi Wang and Dan Dongseong Kim (University of Queensland, Australia)

Towards automated fuzzing of 4G/5G protocol implementations over the air

Matheus Eduardo Garbelini, Zewen Shang und Sudipta Chattopadhyay (University of Technology and Design of Singapore (SUTD), Singapore); Sumei Sun und Ernest Kurniawan (Infocomm Research Institute, Singapore)


Uplink cluster-based radio resource scheduling for HetNet mMTC scenarios

Abdelrahman M. Ramadan (Queen's University, Canada); Nizar Zorba (Qatar University, Qatar); Hossam S. Hassanein (Queen's University, Canada)

Energy efficient RRM relaxation for degraded UEs in 5G networks

Muhammad Tayyab (Nokia Bell Labs, Finland); Niko Kolehmanen (Nokia Networks and Solutions Oy, Finland); M. Majid Butt and Ahlem Khlass (Nokia Bell Labs, France); Crispy Ratasuk (Nokia Standards, USA)

Throughput analysis with power-domain NOMA power-level design-aware concession-free mMTC

Takeshi Hirai, Naoki Wakamiya and Rei Oda (Osaka University, Japan)

Discover the benefits of rate-sharing multiple access for uplink IoT traffic

Abhishek Kumar and Frank Y. Li (University of Agder, Norway); Group of Jorge Martinez buildings (Polytechnic University of Valencia, Spain)

Batch grooming in elastic optical networks with space division multiplexing

Silvana Trindade and Nelson L. S. da Fonseca (State University of Campinas, Brazil)


A practical way to handle service migration from ML-based applications to Industrial Analytics

Domenico Scotece (University of Bologna, Italy); Claudio Fiandrino (IMDEA Networks Institute, Spain); Luca Foschini (University of Bologna, Italy)

An architectural approach to heterogeneous data access on serverless platforms

Andrea Sabbioni (University of Bologna, Italy); Antonio Corradi (University of Bologna and CIRI ICT, Italy); Armir Bujari, Luca Foschini and Stefano Romeo (University of Bologna, Italy)

Availability-aware service delivery with sharing enabled for backup subchain

Yuncan Zhang (City University of Hong Kong, China); Fujun He and Eiji Oki (Kyoto University, Japan)

Calculation of similarity cache hit rate

Younes Ben Mazziane (University of Cote d'Azur & INRIA, France); Sara Alouf (INRIA, France); Giovanni Neglia (Inria, France); Daniel Menasché (Federal University of Rio de Janeiro, Brazil)

Cache decisions and recommendation in base stations with transcoding capability

Dimitra Tsigkari (EURECOM, Frankreich); Thrasyvoulos Spyropoulos (EURECOM & EURECOM, Frankreich)


FedRFID: Federated Learning for Radio Frequency Fingerprint Identification of WiFi Signals

Jibo Shi, Han Zhang, Sen Wang und Bin Ge (Harbin Engineering University, China); Shiwen Mao (Auburn University, EUA); Yun Lin (Harbin Engineering University, China)

Allocating multiple resources to distributed federated learning systems on the device

Yulan Gao and Ziqiang Ye (China University of Electronic Science and Technology, China); Han Yu (Nanyang Technological University, Singapore); Zehui Xiong (Singapore University of Technology and Design, Singapore); Yue Xiao (China University of Electronic Science and Technology, China); Dusit Niyato (Nanyang Technological University, Singapore)

Federated learning-based heterogeneous load splitting and forecasting for 5G systems and beyond

Liyuan Pu (BUPT, China); Qimei Cui (Beijing University of Posts and Telecommunications, China); Xiangjun Li (Beijing University of Posts and Telecommunications, China); Borui Zhao (Beijing University of Posts and Telecommunications, China); Wei Ni (CSIRO, Australia); Ming AI (CATT, China); Xiaofeng Tao (Beijing University of Posts and Telecommunications, China)

Communication-efficient device scheduling via over-the-air compute for federated learning

Bingqing Jiang (Tsinghua University, China); Jun Du und Chunxiao Jiang (Tsinghua University, Pequim, China); Yuanming Shi (ShanghaiTech University, China); Zhu Han (Universidade de Houston, EUA)

Power-efficient federated learning in cooperative relay-assisted wireless networks

Xinyue Zhang (Kennesaw State University, EUA); Rui Chen (University of Houston, EEA); Jingyi Wang (San Francisco State University, EUA); Huaqing Zhang and Miao Pan (University of Houston, EUA)


A coverage-aware VNF placement approach and resource allocation for disaggregated vRANs

Victor Hugo Lázaro Lopes (Federal Institute of Education, Science and Technology of Goiás – IFG & IFG, Brazil); Aldebaro Klautau (Federal University of Pará, Brazil); Gabriel Almeida (Federal University of Goiás, Brazil); Kleber V Cardoso (Federal University of Goiás, Brazil)

Efficient allocation of disaggregated RAN functions and multi-access edge computing services

Luciano de S. Fraga and Gabriel Almeida (Federal University of Goiás, Brazil); Sand Correa (Federal University of Goiás (UFG), Brazil); Cristiano Bonato Both (Unisinos University, Brazil); Leizer Pinto (Federal University of Goiás, Brazil); Kleber V Cardoso (Federal University of Goiás, Brazil)

ProSLICE: An open RAN-based approach to programmable RAN slicing

Ahan Kak and Quan Pham Van (Nokia Bell Labs, USA); Huu Trung Thieu (Nokia Bell Labs, France); Nakjung Choi (Nokia & Bell Labs, USA)

Zero-Rating, One Big Mess: Analysis of different pricing practices of European MNOs

Gabriel Karl Gegenhuber (University of Vienna & SBA Research gGmbH, Austria); Wilfried Mayer (SBA Research gGmbH, Austria); Edgar Weippl (University of Vienna, Austria)

A multiscale ensemble learning model for mobile traffic prediction

Changzheng Gao, Tao Feng, Huandong Wang und Depeng Jin (Tsinghua University, China); Junlan Feng, Xing Wang, Lin Zhu und Chao Deng (China Mobile Research Institute, China)


A handy dirty paper encoding scheme for MISO broadcast channels

Muhammed Yusuf Sener (Technical University of Munich, Germany); Ronald Boehnke (Huawei European Research Center, Germany); Wen Xu (Huawei Technologies Düsseldorf GmbH & - European Research Center (ERC), Germany)

Achievable multi-user scheduling rate in massive RIS-based MIMO systems

Cheonyng Kim (Virginia Tech, USA); Minchae Jung (Sejong University, Korea (South)); Walid Saad (Virginia Tech, USA)

Narrow limits to the optimal UL sum rate of MU-RIS based wireless systems

Ikram Singh, Peter J. Smith e Pawel A. Dmochowski (Victoria University of Wellington, Neuseeland)

Beamforming allocation and backhaul capacity allocation for integrated access and backhaul networks

Mingun Kim and Hewon Cho (Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea (South)); Jemin Lee (Sungkyunkwan University (SKKU), South Korea)

An optimal transport approach to calculate the LM rate

Wen Hao Ye (Tsinghua University, China); Huihui Wu (Huawei Technologies Co., Ltd., China); Shitong Wu (Tsinghua University & Huawei Technologies Co., Ltd., China); Yizhu Wang (Huawei Technologies Co., Ltd. . . ., China); Wenyi Zhang (Universidade de Ciência e Tecnologia da China, China); Hao Wu (Universidade de Tsinghua, China); Bo Bai (Huawei Technologies Co., Ltd., Hongkong)


Network Traffic Prediction for Intelligent Transport Systems: A Reinforcement Learning Approach

Jian Song (Northwestern Polytechnical University, China); Hua Liu (Chongqing University of Posts and Telecommunications, Chongqing, China); Laisen Nie (Northwestern Polytechnical University, China); Zhaolong Ning (Chongqing University of Posts and Telecommunications, China); Mohammad S. Obaidat (University of Jordan, USA); Balqies Sadoun (Al-Balqa' Applied University, Jordan)

SFL: A high-precision traffic flow predictor to support intelligent transportation systems

Zepu Wang (Duke Kunshan/Duke University, China); Peng Sun (Duke Kunshan University, Canada); Azzedine Boukerche (Universidade de Ottawa, Canada)

IoT-based prediction and transfer learning of urban flow quality

Tharsana Balachandran, Thiago Abreu and Manel Naloufi (Universidade Paris-Est Créteil, France); Sami Souihi (Universidade Paris Est UPEC, France); Françoise Lucas (Universidade de Paris-Est Créteil, France); Aurélie Janne (Marne Vive Union, France)

Detecting false data injections in images collected by drones: a deep learning approach

Farid Nait-Abdesselam (University of Missouri - Kansas City, USA); Chafiq Titouna (Paris Cité University, France); Ashfaq Khokhar (Iowa State University, USA)

Deep Reinforcement Learning for Task Distribution in Mobile Energy Harvesting Crowdsensing

Sumedh Jitendra Dongare (Technical University of Darmstadt, Germany); Andrea Ortiz and Anja Klein (TU Darmstadt, Germany)


Federated learning with channel-constrained Internet of Things communication efficiency

Tao Hu und Xinran Zhang (China University of Electronic Science and Technology, China); Zheng Chang (Universität Jyväskylä, Finland); Fengye Hu (Jilin University, China); Timo Hämäläinen (Universität Jyväskylä, Finland)

FedDQ: efficient federated learning in communication with downward quantization

Linping Qu (Hong Kong University of Science and Technology, Hong Kong); Shenghui Song (Hong Kong University of Science and Technology, Hong Kong); Cy Tsui (HKUST, Hong Kong)

Efficient, decentralized, federated, and learning-based energy theft detector that preserves privacy

Mohamed I Ibrahem (George Mason University, USA); Mohamed M. E. A. Mahmoud (Tennessee Tech University, USA); Mostafa M. Fouda (Idaho State University, USA); Basem M. ElHalawany (Benha University, Ägypten); Waleed Alasmary (Umm Al-Qura University, Saudi Arabia)

Independent and identically distributed (IID) data assessment in federated learning

Ahmad Hammoud und Mohamad Arafeh (School of Higher Technology, Canada); Hadi Otrok (Khalifa University, Vereinigte Arabische Emirate and Concordia University, Canada); Azzam Mourad (American Lebanese University, Lebanon); Zbigniew Dziong (School of Higher Technology, University of Quebec, Canada); Chamseddine Talhi (School of Higher Technology, Canada)

Traffic anomaly detection with federated learning for network-based malware detection in IoT

Takayuki Nishio (Tokyo Institute of Technology, Japão); Masataka Nakahara und Norihiro Okui (KDDI Research, Japão); Ayumu Kubota (KDDI Research Inc., Japão); Yasuaki Kobayashi (KDDI Research, Inc., Japão); , Ryoichi Shinkuma (Shibaura Institute of Technology, Japão);


Context-aware real-time learning system for IoT applications

Bhaskar Das (University of Moncton, Canada); Jalal N. Almhana (University of Moncton, Canada); Lutful Karim (Seneca College of Applied Arts and Technology, Canada)

CSMA/CA strategy with midfield MARL-based priority recognition in large MANETs

Hanyu Wei, Chan Wang, Rongpeng Li e Minjian Zhao (Universität Zhejiang, China)

Lightweight and efficient respiratory rate estimation for low-cost IoT applications

Yassine Ben-Aboud (International University of Rabat, Morocco); Mounir Ghogho (International University of Rabat, Morocco and University of Leeds, United Kingdom (Great Britain)); Abdellatif Kobbane (ENSIAS, Mohammed V University in Rabat, Morocco); Mohamed Salmi (International University of Rabat, Morocco)

Concurrent, fault-tolerant, and delay-aware data collection trees in shared IIoT applications

Arvind Kumar, Rakesh Matam and Srinibas Swain (Indian Institute of Information Technology Guwahati, India); Somanath Tripathy (IIT Patna, India); Mithun Mukherjee (Nanjing University of Information Science and Technology, China); Jaime Lloret (Polytechnische Universität Valencia, Spain)

Information age for preemptive/non-preemptive transmissions in large IoT networks

Badiaa Gabr (University of the Nile, Egypt); Hesham ElSawy (Queens University, Saudi Arabia); Karim G. Seddik (American University in Cairo, Egypt); Wessam Mesbah (King Fahd University of Petroleum and Minerals, Saudi Arabia)


Learning to predict and optimize imperfect MIMO system performance: structure and application

Jingyi Su (Southeast University, China); Fan Meng (Purple Mountain Laboratories, China); Shengheng Liu und Yongming Huang (Southeast University, China); Zhaohua Lu (ZTE Corporation, China)

POMDP-based handovers for user-centric cellless MIMO networks

Hussein A. Ammar and Raviraj Adve (University of Toronto, Canada); Shahram ShahbazPanahi (University of Ontario Institute of Technology, Canada); Gary Boudreau (Ericsson, Canada); K Venkata Srinivas (Indian Institute of Technology (BHU), Varanasi, India)

Uplink Assisted Downlink Channel Estimation for a Highly Mobile Massive MIMO OTFS System

Daidong Ying and Feng Ye (University of Dayton, USA); Rose Qingyang Hu (Utah State University, USA); Yi Qian (University of Nebraska - Lincoln, USA)

Reconfigurable smart surface-based interference mitigation for full-duplex MIMO systems

Chia-Jou Ku, Li-Hsiang Shen e Kai-Ten Feng (Universidade Nacional Yang Ming Chiao Tung, Taiwan)

Statistical delay and error rate limits QoS for massive 6G cellular networks based on MIMO

Xi Zhang und Qixuan Zhu (Texas A&M University, EUA)


Optimum MRU allocation mechanism based on user priority for Wi-Fi 7 network

Jialiang Pan, Rong He, Yang Lin and Xuming Fang (Southwest Jiaotong University, China)

Statistical peak flow guarantee for evolving wireless backscatter networks

Yongyi Yang (SUN-YAT-SEN-Universität, China); Guolin Chen (Sun-Yat-Sen-Universität, China); Kai Xie (Sun-Yat-sen-Universität, China); Xiaoxia Huang (Sun-Yat-Sen -Universitat, China)

About transfer latency routing optimization of a delay-tolerant network

Ricardo Lent (University of Houston, EUA)

IEEE 802.11ax Trial Evaluation - Low Latency and High Reliability with Wi-Fi 6?

Marie-Theres Suer (Robert Bosch GmbH, Germany); Prince Joseph (University of Bremen, Germany); Hugues Narcisse Tchouankem (Robert Bosch GmbH, Germany)

Minimizing the Information Age for Surveillance on a Wi-Fi Network

Suyang Wang, Yu Cheng e Lin X. Cai (Illinois Institute of Technology, EUA), Xianghui Cao (Southeast University, China)


Minimizing access latency for scalable video in cache-enabled multi-UAV networks

Bin Zeng, Cheng Zhan, Yang Yang and Jingrui Liao (Southwest University, China)

Efficient and accurate: a full-scale unidirectional delay measurement scheme

Yaozhong Liu, Zhiliang Wang, Jiahai Yang, Long Pan, Lin He, Jinlei Lin, Guanglei Song e Chenglong Li (Tsinghua-Universität, China)

Deep learning-based beam pair angle prediction for millimeter wave vehicle communications beyond 5G

Rima Benelmir and Salim Bitam (Biskra University Laboratory and LESIA, Algeria); Abdelhamid Mellouk (UPEC, University Paris-Est Créteil Val de Marne, France)

To use deep reinforcement learning to reduce uplink latency for uRLLC services

Karim Boutiba (EURECOM, France); Miloud Baga (Aalto University, Finland); Adlen Ksentini (Eurecom, France)

Scalable zero-wait scheduling with stream-aware model conversion for time-sensitive networking

Yanzhou Zhang, Qimin Xu, Shouliang Wang, Yingxiu Chen, Lei Xu e Cailian Chen (Shanghai Jiao Tong University, China)


Design trade-offs of non-picture angle diversity receivers for 6G optical wireless access networks

Elham Sarbazi and Hossein Kazemi (University of Strathclyde, United Kingdom (Great Britain)); Mohammad Dehghani Soltani and Majid Safari (University of Edinburgh, United Kingdom (Great Britain)); Harald Haas (University of Strathclyde, United Kingdom (Great Britain))

Intelligent underflow control in MPTCP-based hybrid Wi-Fi and LiFi networks using model-augmented DRL

Ardimas Andi Purwita (Bina Nusantara University, Indonesia); Anil Yesilkaya (MathWorks, United Kingdom (Great Britain)); Harald Haas (University of Strathclyde, United Kingdom (Great Britain))

Symbol error rate analysis of satellite communication systems with SAG-FSO/SH-FSO/HF transmission

Ramy Samy (University of Victoria, Canada and Space Technology Centre, Ägypten); Hong-Chuan Yang (Universität Victoria, Canada); Mohamed-Slim Alouini (King Abdullah University of Science and Technology (KAUST), Saudi Arabia); Tamer Rakia (University of Victoria, Canada)

Characterization of Secret Key Generation in 5G+ Indoor Mobile LiFi Networks

Elmahedi Mahalal (Tennessee Technological University, USA); Muhammad Ismail (Tennessee Tech University, USA); Zi-Yang Wu (Northeastern University, China); Mostafa M. Fouda (Idaho State University, USA)

Can commercial LED lamps compromise the safety of PLC systems?

Yara Yaacoub (National Institute of Applied Sciences & IETR, France); Fabienne Nouvel (INSA IETR RENNES, France); Jean-Yves Baudais (University of Rennes, INSA Rennes, CNRS, IETR, France); Sylvain Haese (IETR-INSA Rennes, France)


Update age optimization for UAV assisted networks

Mouhamed Naby Ndiaye (Mohammed VI Polytechnic University, Morocco); El Houcine Bergou (UM6P, Morocco); Mounir Ghogho (UIR, Morocco); Hajar EL Hammouti (Mohammed VI Polytechnic University, Morocco)

Intelligent gateway selection and user scheduling in non-stationary air-to-ground networks

Youkun Peng, Gang Feng, Fengsheng Wei und Shuang Qin (China University of Electronic Science and Technology, China)

Compensation between throughput and delay in a 3D UAV communication network

Jue Gong, Cheng Zhan, Renjie Huang and Changyuan Xu (Southwest University, China)

Towards a UAV-centric content caching architecture for communication-constrained environments

Amit Kumar Bhuyan, Hrishikesh Dutta und Subir Biswas (Michigan State University, EUA)

Dual identities enabled low latency visual networking for emergency UAV communications

Yanpeng Cui, Qixun Zhang, Zhiyong Feng, Zhiqing Wei, Ce Shi, Jinpo Fan e Ping Zhang (Universidade de Correios e Telecomunicações de Pequim, China)


Low-shot SAR target classification by combining spatial and frequency information

Haorun Li, Tianyu Wang e Shaowei Wang (Universität Nanjing, China)

PATR: Periodicity-aware trajectory recovery for Express systems using the Seq2Seq model

Xinrui Zhang, Xingyuan Liang, Hai Wang, Shuai Wang e Tian He (Southeast University, China)

Incorporating alignment for unsupervised federated learning via Smart Data Exchange

(Video) A Walk In Space | December 5, 2022

Satyavrat R. Wagle and Mr. Hosseinalipour (Purdue University, USA); Naji Khosravan (Zillowgroup, USA); Mung Chiang (Purdue University, USA); Christopher G. Brinton (Purdue University & Zoomi Inc., USA)

Taming the Hybrid Cloud Fast, Scalable Graph Analytics on Twitter

Chunxu Tang, Yao Li and Zhenxiao Luo (Twitter, EUA); Mainak Ghosh (Universität von Illinois em Urbana-Champaign, EUA); Huijun Wu, Lu Zhang, Anneliese Lu, Ruchin Kabra, Nikhil Navadiya, Prachi Mishra, Prateek Mukhedkar und Vrushali Channapattan (Twitter, EUA)

Dealing with big tabular data from ICT supply chains: a multitasking, machine-interpretable approach

Bin Xiao, Murat Simsek and Burak Kantarci (University of Ottawa, Canada); Ala Abu Alkheir (Lytica Inc., Canada)


SAC-Cloud-01.1 Joint optimization of data refresh and privacy protection in mobile crowdsensing

Yaoqi Yang (Army University of Engineering, China); Bangning Zhang (PLA Army University of Engineering, China); Daoxing Guo (PLA University of Science and Technology, China); Renhui Xu (Nanjing Institute of Communication Engineering, China); Kapal Dev (Technologische Universität Münster & IEEE, Ireland); Weizheng Wang (Aizu University, Japan)

SAC-Cloud-01.2 A proven secure ECC-based 5G AKA multi-factor authentication protocol

Awaneesh Kumar Yadav (Indian Institute of Roorkee, Roorkee, Uttarakhand, India); Manoj Misra (Indian Institute of Technology Roorkee, India); Pradumn Pandey (Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India); Kuljeet Kaur (Ecole de Technologie Supérieure, Canada); Sahil Garg (Resilient Machine Learning Institute (ReMI), Canada); Xi Chen (Huawei Canada, Canada)

SAC-Cloud-01.3 Using cloud-based crowdsourcing for security and privacy settings from Android users Yuzhu Sun, Xuanyu Liu, Tianchi Wu, Xiao Fu, and Bin Luo (Nanjing University, China); Xiaojiang Du (Stevens Institute of Technology, USA); Mohsen Guizani (MBZUAI, United Arab Emirates)

SAC-Cloud-01.4 Local Random Sampling for Practical Privacy Protection in Federated Learning Weiqi Wang (University of Technology, Sydney, Australia); Shushu Liu (Aalto University, Finland); An Liu (Soochow University, China); Christy Jie Liang and Shui Yu (University of Technology Sydney, Australia)

SAC-Cloud-01.5 Advanced Persistent Threat Detection in Smart Grid Clouds Using Graph Embedding

Weiyong Yang (Nari Group Corporation (State Grid Electric Power Research Institute), China); Peng Gao (Nanjing NARI Information & Communication Technology Co., Ltd., China); Hao Huang (Nanjing University, China); Xingshen Wei und Haotian Zhang (Nari Group Corporation (State Grid Electric Power Research Institute), China); Zhihao Qu (Hohai University, China)


Non-contact blood pressure measurement with mmWave radar

Ran You, Dongheng Zhang, Jinbo Chen, Yang Hu und Yan Chen (Universidade de Ciência e Tecnologia da China, China)

MM-HAT: Transformer for detecting human activity based on millimeter wave sensors

Jie Yan, Xianlin Zeng, Anfu Zhou and Huadong Ma (Beijing University of Posts and Telecommunications, China)

Intelligent surface-enhanced Raman scattering sensor system for virus identification

Zaid Farooq Pitafi, WenZhan Song, Zion Tse, Yanjun Yang, Yiping Zhao, Jackelyn Murray and Ralph Tripp (University of Georgia, USA)

Annotation efficiency in multimodal emotion recognition using deep learning

Lili Zhu und Petros Spachos (University of Guelph, Canada)

Multilevel contrast network for segmentation and detection of joint activities based on wearables

Songpengcheng Xia (Shanghai Jiao Tong University, China), Lei Chu (University of Southern California & USC, EUA), Ling Pei und Wenxian Yu (Shanghai Jiao Tong University, China), Robert C. Qiu (Huazhong University of Science and Technology, China)


Deep Learning Assisted Adaptive mmWave Beam Tracing: A Probability Sum Oriented Methodology

Ke Ma und Haoming Zou (Tsinghua University, China); Sun Chen (Sony China Research Laboratory Beijing, China); Zhaocheng Wang (Tsinghua University, China)

Frequency domain digital pre-distortion for massive downlink MU-MIMO OFDM

Yibo Wu (Chalmers University of Technology, Sweden); Ulf Gustavsson (Ericsson AB, Sweden); Mikko Valkama (University of Tampere, Finland); Alexandre Graell i Amat and Henk Wymeersch (Chalmers University of Technology, Sweden)

Blind, channel-independent equalization with opposing networks

Vincent Lauinger and Manuel Hoffmann (Karlsruhe Institute of Technology, Germany); Jonas Ney and Norbert Wehn ​​(University of Kaiserslautern, Germany); Laurent Schmalen (Karlsruhe Institute of Technology (KIT), Germany)

DRL-based channel access in unlicensed NR spectrum for downlink URLLC

Yan Liu (Queen Mary University of London, United Kingdom (Great Britain)); Hui Zhou and Yansha Deng (King's College London, United Kingdom (Great Britain)); Arumugam Nallanathan (Queen Mary University of London, United Kingdom (Great Britain))

Millimeter wave beam selection with location awareness and orientation for multi-panel antenna devices

Sajad Rezaie (University of Aalborg, Denmark); João Morais (Arizona State University & Wireless Intelligence Lab, USA); Elisabeth de Carvalho (University of Aalborg, Denmark); Ahmed Alkhateeb (Arizona State University, USA); Carles Navarro Manchón (University of Aalborg, Denmark)


Efficient Distributed Learning in Communication in V2X Networks: Parameter Selection and Quantization

Luca Barbieri (Polytechnic of Milan, Italy); Stefano Savazzi (CNR National Research Council, Italy); Monica Nicoli (Polytechnic of Milan, Italy)

Robust Distributed Bayesian Learning with Laggards via Consensus Monte Carlo

Hari Hara Suthan Chittoor and Osvaldo Simeone (King's College London, United Kingdom (Great Britain))

Transfer learning with loss of input reconstruction

Wei Cui and Wei Yu (University of Toronto, Canada)

IL-GAN: Generation of rare samples by incremental learning on GANs

Jón Baldvinsson (KTH Royal Institute of Technology, Sweden); Milad Ganjalizadeh (KTH-Ericsson, Sweden); Abdulrahman Alabbasi (Ericsson Research, Sweden); Amir H. Payberah and Mårten Björkman (KTH Royal Institute of Technology, Sweden)

Hierarchical federated learning with adaptive clustering on non-IID data

Yuqing Tian und Zhaoyang Zhang (Zhejiang University, China); Zhaohui Yang (Zhejiang University & ISEE, Vereinigtes Königreich (Großbritannien)); Richeng Jin (Zhejiang University, China)


Performing a reconfigurable intelligent surface-based index modulation transmission

Jia Liu, Wankai Tang, Xiangyu Chen, Jun Chen Ke und Shi Jin (Southeast University, China); Fu-Chun Zheng (Harbin Institute of Technology, Shenzhen, China & University of York, Vereinigtes Königreich (Großbritannien)); Qiang Cheng und Tie Jun Cui (Universidade do Sudeste, China)

Codebook design for large MIMO refractive holographic systems with reconfigurable surface capability

Yutong Zhang and Boya Di (Peking University, China); Hongliang Zhang (Princeton University, USA); Lingyang Song (Peking University, China)

Multi-User Holographic MIMO Systems: Reconfigurable Refractive Surface or Phased Array?

Shuhao Zeng (Peking University, China); Hongliang Zhang (Princeton University, USA); Boya Di and Lingyang Song (Peking University, China)

OAM-based holographic MIMO with large smart surfaces

Giulia Torcolacci (DEI, University of Bologna and WiLab-CNIT, Italy); Nicol Decarli (CNR - IEIIT, Italy & WiLab/CNIT, Italy); Davide Dardari (University of Bologna and CNIT, Italy)

Spatial multiplexing optimization for RIS-enabled wireless communications using practical models

Mengnan Jian, Ruiqi Liu and Yajun Zhao (ZTE Corporation, China)


Age-Based Access Control on GEO/LEO Heterogeneous Network for Marine IoRT

Yi Cai (Harbin Institute of Technology (Shenzhen), China); Shaohua Wu (Harbin Institute of Technology, China); Jiping Luo (Harbin Institute of Technology, Shenzhen, China); Jian Jiao (Harbin Institute of Technology – Shenzhen, China) ; Ning Zhang (Universität Windsor, Kanada); Qinyu Zhang (Shenzhen Graduate School, Harbin Institute of Technology, China)

SFC-enabled data delivery for ultra-dense LEO satellite-to-ground integrated network

Xiaohan Qin, Ting Ma, Zhixuan Tang, Xin Zhang, Xiaoyu Liu e Haibo Zhou (Universität Nanjing, China)

Adaptive beam pattern selection and resource allocation for NOMA-based LEO satellite systems

Anyue Wang (University of Luxembourg, Luxembourg); Lei Lei (Xi'an Jiaotong University, China); Xin Hu (Beijing University of Posts and Telecommunications, China); Eva Lagunas (University of Luxembourg, Luxembourg); Ana Isabel Perez Neira (UPC/CTTC, Spain); Symeon Chatzinotas (University of Luxembourg, Luxembourg)

A new preamble design for 5G-enabled non-terrestrial LEO networks

Huamin Chen (Beijing University of Technology, China); Wang Peng (Beijing Institute of Remote Sensing Equipment, China); Sijia Li, Shaofu Lin, Zhuwei Wang und Chao Fang (Beijing University of Technology, China)

Enabling ubiquitous and efficient data delivery from LEO satellites and ground station networks

Weisen Liu, Qian Wu, Zeqi Lai, Hewu Li, Yuanjie Li e Jun Liu (Tsinghua-Universität, China)


Pilotless Massive MIMO TDD system with blind channel estimation using non-coherent DMPSK

Manuel Jose Lopez Morales, Kun Chen-Hu and Ana Garcia Armada (Carlos III University, Madrid, Spain)

Distributed massive MIMO cooperation with low-dimensional CSI exchange

Zhenyao He, Wei Xu and Hong Shen (Southeast University, China); Yan Sun (Huawei Technologies Co., Ltd., China); Xiaohu You (National Mobile Communications Research Laboratory, Southeast University, China); Jiewei Fu (Guangdong Institute of Communications and Networks, China)

Effective pilot-based channel DL estimation in user-centric massive MIMO cellless networks

Daynara Dias Souza (Bundesuniversität Para, Brasilien); Marx Miranda de Freitas (Federal University of Pará & Applied Electromagnetism Laboratory (LEA), Brasilien); Daniel Benevides da Costa (Technology Innovation Institute, Vereinigte Arabische Emirate); Gilvan Soares Borges (Federal Institute of Pará, Brasilien); Andre Mendes Cavalcante (Ericsson, Brasilien & Ericsson Research, Brasilien); Luca Valcarenghi (Scuola Superiore Sant'Anna, Italy); Joao Weyl Costa (Bundesuniversität Pará - UFPA, Brasilien)

Low-complexity channel estimation scheme for cell-free massive MIMO with hardware degradation

Mingfeng Xie, Xiangbin Yu, Jinjiang Xu und Xiaoyu Dang (Universität für Luft- und Raumfahrt Nanjing, China)

Cascaded channel estimation for massive mmWave MIMO systems supported by distributed IRS

Lakshminarasimhan Yashvanth (Indian Institute of Science, Bangalore, India); Chandra R. Murthy (Indian Institute of Science, India)


A backbone listener relative location scheme for distributed multi-agent systems

Xiaoxiang Li (Tsinghua-Universität, China); Yan Liu (Chinese Academy of Electronics and Information Technology, China); Yunlong Wang und Yuan Shen (Tsinghua-Universität, China)

RangeSRN: range super resolution network with mmWave FMCW-Radar

Hsin-Yuan Chang (National Tsing-Hua University, Taiwan); Wei-Ho Chung (Tsing Hua National University and Academy of Sciences, Taiwan); Yi-Yan Chen (National Tsing Hua University, Taiwan)

A two-stage global estimation scheme for multiband delay estimation in wireless localization

Yubo Wan, An Liu, Qiyu Hu, Mianyi Zhang e Yunlong Cai (Universität Zhejiang, China)

Joint estimation of vehicle position and speed using distributed RSUs for the OFDM radar system

Seong-Hwan Hyun, Jihye Kim, Keunwoo Kim, WanJei Cho and Seong-Cheol Kim (Seoul National University, Korea (South))

A new integrated navigation and communication waveform for the LEO network

Mingyi Wang, Gongliang Liu, Ruofei Ma, Wanlong Zhao and Wenjing Kang (Harbin Institute of Technology, China)


Intelligent distributed 6G uplink beamforming for transport systems in highly dynamic environments

Xingrui Yi, Linghe Kong, Yutong Liu and Guihai Chen (Shanghai Jiao Tong University, China); Xue Liu (McGill University, Canada); Shahid Mumtaz (Institute of Telecommunications, Portugal); Joel JPC Rodrigues (Senac Fac aus Ceará, Brazil & Telecommunications Institute, Portugal)

User-centric asymmetric beamforming for mmWave MIMO systems

Ke Xu (Harbin Institute of Technology, Shenzhen and Peng Cheng Laboratory, China); Fu-Chun Zheng (Harbin Institute of Technology, Shenzhen, China and York University, United Kingdom (Great Britain)); Hongguang Xu (Shenzhen Graduate School, Harbin Institute of Technology, China); Xu Zhu (Harbin Institute of Technology, Shenzhen, China and University of Liverpool, United Kingdom (Great Britain)); Xiaogang Xiong (Harbin Institute of Technology (Shenzhen), China)

RF daisy chaining for massive centralized MIMO without mmWave cells with hybrid beamforming

Shunsuke Kamiwatari, Issei Kanno und Takeo Ohseki (KDDI Research, Inc., Japão); Kosuke Yamazaki (KDDI Research Inc., Japão); Yoji Kishi (KDDI Research, Inc., Japão)

Combine optimal beamforming and power control in cell-free massive MIMO

Lorenzo Miretti (Technical University of Berlin and Fraunhofer Heinrich-Hertz Institute, Germany); Renato L.G. Cavalcante (Fraunhofer Heinrich Hertz Institute, Germany); Slawomir Stanczak (Technical University of Berlin and Fraunhofer Heinrich Hertz Institute, Germany)

Beyond Codebook-Based Analog Beamforming in mmWave: Compressed Detection and Machine Learning Methods

Hamed Pezeshki (Qualcomm Technologies, Inc., EUA); Fabio Massoli (Qualcomm Technologies Holanda, Holanda); Arash Behboodi (Qualcomm, NL, Holanda); Taesang Yoo (Qualcomm Inc., EUA); Arumugam Kannan (Qualcomm Technologies Incorporated, EUA); Mahmoud Taherzadeh Boroujeni (Qualcomm Technologies, Inc., EUA); Qiaoyu Li (Qualcomm Wireless Communications Technologies (China) Limited, China); Tao Luo (Qualcomm, EUA); Joseph B. Soriaga (Qualcomm, Inc., EUA)


Unbiased over-the-air computing over retransmissions

Henrik Hellstrom and Viktoria Fodor (KTH Royal Institute of Technology, Sweden); Carlo Fischione (KTH, Sweden)

Timely status update for wireless data aggregation via over-the-air calculation

Luteng Qiao und Yong Zhou (Shanghai Tech University, China)

Common power control for over-the-air computing in multi-carrier wireless systems

Xin Xie, Cunqing Hua und Jianan Hong (Universität Shanghai Jiao Tong, China)

Allocation of shared resources for integrated location and computing in intelligent edge networks

Qiao Qi (Zhejiang University, China); Xiaoming Chen (Zhejiang University, China); Chau Yuen (Singapore University of Technology and Design, Singapore)

UAV-assisted hierarchical aggregation for over-the-air federated learning

Xiangyu Zhong, Xiaojun Yuan, Huiyuan Yang e Chenxi Zhong (Universidade de Ciência e Tecnologia Eletrônica da China, China)


Optimal modulation assisted by GRAND

Basak Ozaydin (Massachusetts Institute of Technology, USA); Muriel Medard (MIT, USA); Ken R. Duffy (Hamilton Institute, Maynooth University, Ireland)

Vapor Cloud Delayed DPPM modulation technique for non-linear opto-acoustic communication

Muntasir Mahmud, Mohamed Younis and Md Shafiqul Islam (University of Maryland Baltimore County, USA); Fow-Sen Choa (UMBC, USA); Gary Carter (University of Maryland, Baltimore County, USA)

New low-complexity neural network-based detection for FTN signaling on the ISI channel

Ammar Abdelsamie, Ian D. Marsland, Ahmed Mohamed Ali Ibrahim e Halim Yanikomeroglu (Carleton University, Canada)

ML detection without CSI for constant weight codes in THz communications with high phase noise

Yifei Wu and Johannes David Koch (Friedrich Alexander University of Erlangen-Nuremberg, Germany); Martin Vossiek (LHFT, Friedrich-Alexander-University Erlangen-Nuremberg, Germany); Robert Schober (Friedrich-Alexander University Erlangen-Nuremberg, Germany); Wolfgang Gerstacker (University of Erlangen-Nuernberg, Germany)

Novelty detection for risk-based user authentication on mobile devices

Maria Papaioannou (Institute of Telecommunications, Portugal); Georgios Zachos (Institute of Telecommunications, University Campus of Santiago, Portugal); Georgios Mantas (Institute of Telecommunications - Aveiro Branch, Portugal); Jonathan Rodriguez (Telecommunications Institute, Portugal)

MONDAY, DECEMBER 5TH 10:00 am - 12:15 pm


MONDAY, DECEMBER 5 2:00 pm - 3:30 pm


Energy-efficient resource allocation for MEC and blockchain-enabled IoT via CRL approach

Meng Li und Pan Pei (Technische Universität Peking, China), F. Richard Yu (Carleton University, Kanada), Pengbo Si, Ruizhe Yang und Zhuwei Wang (Technische Universität Peking, China)

Bicriterion Optimization for Energy Harvest Retransmission: Algorithm Formulation and Implementation

Dokhyl AlQahtani (University of Warwick & Prince Sattam Bin Abdulaziz University, United Kingdom (Great Britain)); Yunfei Chen (University of Warwick, United Kingdom (Great Britain))

Online resource management on two timescales in smart grids served by heterogeneous cellular networks

Lilan Liu (Chongqing University of Posts and Telecommunications, China); Zhizhong Zhang (Nanjing University of Information Science and Technology, China); Haijun Zhang (Beijing University of Science and Technology, China); Yu Zhang (Nanjing University of Information Science and Technology, China)

Allocation of shared resources for software-defined, serverless, service-centric networks

Xiaolu Li, Renchao Xie, Tao Huang und Yunjie Liu (Beijing University of Posts and Telecommunications, China)

Energy efficient user association and resource allocation for decentralized mutual learning

Xiao Lu (Zhejiang University, China); Jiantao Yuan (Zhejiang University City College, China); Chao Chen (Zhejiang Gongshang University, China); Xianfu Chen (VTT Technical Research Center of Finland, Finnland); Celimuge Wu (The University of Electro -Kommunikation, Japão); Rui Yin (Zhejiang University City Colle, China & KwaZulu-Natal University, Südafrika)


FERST: A complete ECG receiving system for user authentication with two-level deep learning

Amr Salah Kassab, Stella Banou, Debashri Roy and Kaushik Chowdhury (Northeastern University, EUA)

Generalizing flow classification for distributed denial of service across different networks

Leonardo Henrique Melo and Gustavo de Carvalho Bertoli (Technological Institute of Aeronautics, Brazil); Marcelo Domingues (Brazilian Navy, Brazil); Osamu Saotome (Technological Institute of Aeronautics, Brazil); Aldri Santos (Federal University of Minas Gerais (UFMG), Brazil); Lourenço Alves Pereira, Jr (ITA - Technological Institute of Aeronautics, Brazil)

Zen-tor: A zero-knowledge classification method for known-unknown traffic

Yizhe Gu, Yingxu Lai e Yipeng Wang (Universidade de Tecnologia de Pequim, China)

TrafficGCN: Classification of encrypted traffic for mobile apps based on GCN

Hongbo Xu (Institute of Information Technology? Chinese Academy of Sciences, China); Shuhao Li (Zhongguancun Laboratory, China); Zhenyu Cheng, Rui Qin, Jiang Xie and Peishuai Sun (Institute of Information Technology, Chinese Academy of Sciences, China)

A graph learning approach with audit logs for advanced attack investigation

Jian Liu (Institute of Information Technology, Chinese Academy of Sciences, China); Junjie Yan (Institute of Information Technology? Chinese Academy of Sciences, China); Zhengwei Jiang (Institute of Information Technology, CAS, China); Xuren Wang (Institute of Information Technology? Chinese Academy of Sciences, China); Jun Jiang (Chinese Academy of Sciences, China)


Uncovering the truth in mobile crowdsensing with differential location privacy

Tongqing Zhou and Zhiping Cai (National University of Defense Technology, China); Jinshu Su (National University of Defense Technology, China)

Discrete ideal transport based on differentially private ADMM distributed for resource allocation

Jason Hughes and Juntao Chen (Fordham University, USA)

A federated learning approach to improve security in network slicing

Shalitha Wijethilaka (University College Dublin, Ireland); Madhusanka Liyanage (University College Dublin, Ireland and University of Oulu, Finland)

Effects of quantization on federated learning with local differential privacy

Muah Kim (University of Dresden, Germany); Onur Günlü (University of Siegen, Germany and University of Linköping, Sweden); Rafael F. Schaefer (University of Siegen, Germany)


Smart reflective surface versus mobile relay-assisted NLoS prevention in indoor mmWave networks

Maria Bustamante Madrid (University of Antwerp – imec, Belgium); Jeroen Famaey (University of Antwerp and Imec, Belgium); Filip Lemic (University of Antwerp – imec, Belgium)

Optimizing information refresh by leveraging multi-RISs in NOMA-based IoT networks

Ali Muhammad, Mohamed Elhattab, Mohamed Amine Arfaoui and Chadi Assi (University of Concordia, Canada)

For stochastic modeling of robustness parameters for communicating resilience in vehicle trains

Nitin Singh Rajput (Pandit Deendayal Petroleum University Gandhinagar, India); Santosh Kumar Satapathy (Pandit Deendayal Energy University, India and Assistant Professor, India); Sheetal Sisodia (IIIT Vadodara, India)

A multithreaded learning model for superresolving radio channel properties

Xiping Wang, Zhao Zhang, Danping He und Ke Guan (Beijing Jiaotong University, China); Dongliang Liu (State Key Laboratory of Mobile Network and Mobile Multimedia Technology, China); Jianwu Dou (ZTE Corporation, China); Shahid Mumtaz (Instituto de Telecomunicações, Portugal); Saba Al-Rubaye (Cranfield University, Vereinigtes Königreich (Großbritannien))

Federated Deep Reinforcement Learning for Resource Allocation O-RAN Slicing

Han Zhang and Hao Zhou (University of Ottawa, Canada); Melike Erol-Kantarci (University of Ottawa and Ericsson, Canada)

Aerial Assistant: securing earth-to-satellite communications networks

Hao Wang, Qubeijian Wang und Wen Sun (Northwestern Polytechnical University, China); Nan Zhao (Technische Universität Dalian, China); Hong-Ning Dai (Hong Kong Baptist University, Hongkong); Lexi Xu (China Unicom Research Institute & Queen Mary University de Londres, China)


Competitive energy allocation for air dump calculations: a Coronel Blotto game

Properties (National Technical University of Athens, Greece); Maria Diamanti (National Technical University of Athens (NTUA), Greece); Eirini Eleni Tsiropoulou (University of New Mexico, USA); Symeon Papavassiliou (National Technical University of Athens, Greece)

Offloading strategies ideal for in-game edge computing and mid-field controls

Kai Cui, Mustafa Burak Yilmaz and Anam Tahir (Technical University of Darmstadt, Germany); Anja Klein (TU Darmstadt, Germany); Heinz Koeppl (Technical University of Darmstadt, Germany)

Graph Reinforcement Learning-basiertes CNN-Inferenz-Offloading im Dynamic Edge Computing

Nan Li, Alexandros Iosifidis and Qi Zhang (Aarhus University, Denmark)

Distributed bio-inspired configuration of mission-critical virtualized networks

Do?analp Ergenç (University of Hamburg, Germany); David Sorejevic (University of Hamburg, Germany); Mathias Fischer (University of Hamburg, Germany)

Joint communication-compute caching planning in F-RAN

Zishuo You and Qiang Li (Hazhong University of Science and Technology, China); Ashish Pandharipande (NXP Semiconductors); Xiaohu Ge (Hazhong University of Science and Technology, China)


Proactive resource management for predictive 5G uplink splitting

Dennis Overbeck, Niklas A. Wagner, Fabian Kurtz and Christian Wietfeld (TU Dortmund, Germany)

Recursive Router Metric Prediction with ML-based Node Modeling for Network Digital Replica

Kyota Hattori (Nippon Telegraph and Telephone Corporation, Japão); Tomohiro Korikawa (NTT, Japão); Chikako Takasaki, Hidenari Oowada und Masafumi Shimizu (NTT Corporation, Japão)

Cognitive radio based on policy learning for unlicensed mobile communications

(Video) CJC Virtual Prayer Platform -Monday, December 5, 2022- Men Praying For The Youth

Peihao Yang, Jiale Lei und Linghe Kong (Shanghai Jiao Tong University, China); Chenren Xu (Peking University, China); Peng Zeng (Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China); Evgeny Khorov (IITP RAS, Rússia)

Non-episodic and heterogeneous environment in distributed multi-agent reinforcement learning

Fenghe Hu (King's College London, London, United Kingdom, United Kingdom (Great Britain)); Yansha Deng and Hamid Aghvami (King's College London, United Kingdom (Great Britain))

Adaptive DNN inference assisted by digital twins in the Industrial Internet of Things

Shisheng Hu und Mushu Li (Universität Waterloo, Kanada); Jie Gao (Carleton University, Kanada); Conghao Zhou und Sherman Shen (Universität Waterloo, Kanada)


Collaborative learning respecting privacy with scalable image transformation and autoencoder

Yuting Ma, Yuanzhi Yao, Xiaowei Liu und Nenghai Yu (Universidade de Ciência e Tecnologia da China, China)

A reliable and explainable federated deep learning framework on contactless B5G networks

Sabra Ben Saad (Eurecom, France); Bouziane Brik (University of Burgundy, France); Adlen Ksentini (Eurecom, France)

End-to-End-Framework para proativos Deep Learning-Content-Caching

Eslam Mohamed Bakr, Eslam Bakr (University of Cairo and Valeo Egypt, Egypt); Hamza Ben-Ammar (La Rochelle Université, L3i, France); Hesham Eraqi (American University, EGYPT, Egypt); Sherif Aly (American University in Cairo, Egypt); Tamer ElBatt (American University in Cairo (AUC) and Faculty of Engineering, Cairo University, Egypt); Yacine Ghamri-Doudane (University of La Rochelle, France)

Gray Wolf Optimizer to reduce federated learning communication costs

Ammar Kamal Abasi (MBZUAI, United Arab Emirates); Moayad Aloqaily (Mohammed Bin Zayed University of Artificial Intelligence, Canada); Mohsen Guizani (English, United Arab Emirates)

Federated edge learning via reconfigurable smart surface with one-bit quantization

Heju Li and Rui Wang (Tongji University, China); Jun Wu (Fudan University, China); Wei Zhang (University of New South Wales, Australia)


Massive random access with tensor-based modulation in the presence of time offsets

Alexis Decurninge (Huawei Technologies, France); Paul Ferrand (Huawei Technologies France, France); Maxime Guillaud (Huawei Technologies, France)

Spectral efficiency with single-bit transmitters under out-of-band power limitations

Xiangbo Meng, Nicholas East, J. Nicholas Laneman and Jonathan Chisum (University of Notre Dame, USA); Ralf Bendlin (AT&T Labs, USA); Bertrand Hochwald (University of Notre Dame, USA)

Joint reflection and power sharing optimization for RIS-enabled SWIPT OAM

Lyu Runyu e Wenchi Cheng (Universität Xidian, China)

Federated multi-armed bandits with vector rewards for aspect-based recommendations

Zengyan Liu und Linqi Song (Universidade da Cidade de Hong Kong, Hongkong); Christina Fragouli (UCLA, EUA)

Heat conduction as a wireless communication channel

Ruth G. Gebremedhin and Thomas Marzetta (University of New York, USA)


Dynamic resource allocation based on Reinforcement Learning for free access

Mariam Elsayem (Queen's University, Canada); Hatem Abou-Zeid (University of Calgary, Canada); Ali Afana (Ericsson, Canada); Sidney Givigi (Queen's University and Royal Military College of Canada, Canada)

Information Push and Governance Freshness-Aware Federated Learning for Simplified Power IoT

Zehan Jia, Ziqi Yu, Haijun Liao e Zhao Wang (North China Electric Power University, China); Zhenyu Zhou (North China Electric Power University e Waseda University, China); Xiaoyan Wang (Ibaraki-Universität, Japão); Guoqing He (China Electric Power Research Institute, China); Shahid Mumtaz (Instituto de Telecomunicações, Portugal); Mohsen Guizani (MBZUAI, Vereinigte Arabische Emirates)

A channel-based authentication with machine learning for on-body sensor networks

Seyed Mohammad Kashani (Iowa State University, USA); Farid Nait-Abdesselam (University of Missouri – Kansas City, USA); Ashfaq Khokhar (Iowa State University, USA)

Model-based federated boost distillation

Sefutsu Ryu and Shinya Takamaeda-Yamazaki (University of Tokyo, Japan)

Deep reinforcement learning for autonomous vehicle collaboration at unmarked intersections

Jian Zheng, Kun Zhu e Ran Wang (Nanjing Aerospace University, China)


On the feasibility of federated learning in neurodevelopmental disorders: ASD detection use case

Hala Shamseddine (American Lebanese University, Lebanon); Safa Otoum (Universität Ottawa, Canada); Azzam Mourad (Lebanese-American University, Lebanon)

About communication-efficient federated learning design for health monitoring

Dong Chu (China University of Electronic Science and Technology, China); Wael Jaafar (Ecole de Technologie Supérieure, Canada); Halim Yanikomeroglu (Carleton University, Canada)

Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic Systems

Tai M. Ho (ETS School of Higher Technology, Canada); Kim Khoa Nguyen (School of Higher Technology, Canada); Mohamed Cheriet (School of Higher Technology (University of Quebec), Canada)

Permit protocol for feature-aware clients and heterogeneity in federated learning

Muhammad Asad (University of Tokyo, Japan); Safa Otoum (University of Ottawa, Canada); Saima Shaukat (Kyoto University, Japan)

FTLIOT: A federated offload learning framework to secure the IoT

Yazan Ma'en Otoum, Sai Yadlapalli and Amiya Nayak (University of Ottawa, Canada)


Magdroid: an IoT-enabled green electrical safety assistant

Anshita Gupta (Indian Institute of Technology Kharagpur, India); Sudip Misra (Indian Institute of Technology-Kharagpur, India); Pallav Kumar Deb (Indisches Technologieinstitut Kharagpur, India)

A transformer-based model for effective and exportable IoMT-based stress detection

Moudy Alshareef (Queen Mary University of London, United Kingdom (Great Britain)); Badraddin Alturki (King Abdulaziz University, Saudi Arabia); Mona Jaber (Queen Mary University of London, United Kingdom (Great Britain))

Real-time jaywalking detection and notification system with deep learning and multi-object tracking

Sifatul Mostafi, Weimin Zhao, Sittichai Sukreep, Akramul Azim and Khalid Elgazzar (Ontario Tech University, Canada)

Efficient neural data compression for machine-type communication through knowledge distillation

Mostafa Hussien (ETS & Samsung AI Center, Canada); Yi Tian Xu (Samsung AI Center, Canada); Di Wu (Samsung Electronics, Canada); Xue Liu (McGill University, Canada); Gregory Dudek (Samsung Electronics, Canada)

RAKI: A Robust ECC-Based Three-Part Authentication Scheme and Key Agreement for the Medical IoT

Zhou Yousheng and Lunhao Li (University of Posts and Telecommunications, Chongqing, China); Mohammad S. Obaidat (University of Jordan, USA); Yuanni Liu (Chongqing University of Posts and Telecommunications, China); P Vijayakumar (Melpakkam, India); Kuei-Fang Hsiao (University of Texas - Permian Basin, USA)


Dynamic power and rate allocation for NOMA-based vehicle-to-infrastructure communications

Chongtao Guo e Bin Liao (Universidade de Shenzhen, China)

LoS-aware handover uplink NOMA transmissions to LEO multilayer satellite constellations

Hu Qifan (Harbin Institute of Technology, China); Jian Jiao (Harbin Institute of Technology – Shenzhen, China); Shaohua Wu (Harbin Institute of Technology, China); Rongxing Lu (University of New Brunswick, Canada); Qinyu Zhang (Shenzhen Graduate School, Harbin Institute of Technology, China)

Shared Communications, Detection, and Multilayer Computing: A Framework Powered by NOMA

Zhaolin Wang, Xidong Mu und Yuanwei Liu (Queen Mary University of London, Vereinigtes Königreich (Großbritannien)); Xiaodong Xu (Pequim University of Posts and Telecommunications & Wireless Technology Innovation Institute, China); Ping Zhang (WTIBUPT, China)

A time- and energy-efficient MIMO-NOMA MEC bulk offload technique: a distributed ADMM approach

Mohammad Hamoud Alharbi (Catholic University of America, USA); Minhee Jun (Catholic University of America, USA); Hang Liu (Catholic University of America, USA)

Cellular-V2X Autonomous Sidelink Spatial Performance Analysis with NOMA

Takeshi Hirai, Naoki Wakamiya and Tatsuaki Kimura (Universität Osaka, Japão)


Channel stateless IRS assisted communication based on deep reinforcement learning

Hiroaki Hashida, Yuichi Kawamoto und Nei Kato (Universität Tohoku, Japão); Masashi Iwabuchi (NTT, Japão); Tomoki Murakami (NTT Corporation, Japão)

Sample-based radio map reconstruction of missing areas using propagation priority

Songyang Zhang, Tianhang Yu and Jonathan Tivald (University of California, Davis, USA); Bumsuk “Brian” Choi (Applied Physics Laboratory, Johns Hopkins University, USA); Feng Ouyang (Johns Hopkins University / Applied Physics Laboratory, USA); Zhi Ding (University of California at Davis, USA)

Smart beam training using deep convolutional neural network in mmWave communications

Zicun Wang and Wenxing Shan (China University of Electronic Science and Technology, China); Lin Zhang (University of Electronic Science and Technology of China (UESTC), China); Song Ma (China University of Electronic Science and Technology, China); Ming Xiao (Royal Institute of Technology, Sweden); Ning Wei and Shaoqian Li (China University of Electronic Science and Technology, China)

Deep reinforcement learning for shared role partitioning and network role placement in vRAN

Gabriel Almeida (Federal University of Goiás, Brazil); Victor Hugo Lázaro Lopes (Federal Institute of Education, Science and Technology of Goiás – IFG & IFG, Brazil); Aldebaro Klautau (Federal University of Pará, Brazil); Kleber V Cardoso (Federal University of Goiás, Brazil)

Adaptive Messaging Based on the Information Age in VANETs

Jordi Marias (i2CAT Foundation, Spain); Oluwaseun Ajayi and Yu Cheng (Illinois Institute of Technology, USA)

Reinforcement learning for shared V2I network selection and autonomous driving policies

Zijiang Yan und Hina Tabassum (York University, Canada)


FLaaS6G: Federated Learning as a Service in 6G using a distributed data management architecture

Wenxuan Ye (Technical University of Munich, Germany); Xueli An (Huawei Technologies, Germany); Xueqiang Yan (Huawei Technologies, China); Mohammad Hamad and Sebastian Steinhorst (Technical University of Munich, Germany)

RAN-CN Converged Control Plane for 6G Cellular Networks

Jinho Choi (Samsung Electronics, Korea (South)); Neha Sharma (Samsung Research Institute Bangalore, India); Shiva Souhith Gantha (Samsung R&D Institute India – Bangalore Pvt. Ltd., India); Vikalp Mandawaria (Samsung Research Institute Bangalore, India); Jiyoung Cha (Samsung Electronics, Korea (South)); Dongmyoung Kim (Samsung Research & Samsung Electronics, Korea (South)); Jungsoo Jung (Samsung Electronics, Korea (South)); Juho Lee (Samsung Electronics. Co., Ltd, Korea (South)); Sunghyun Choi (Samsung Electronics, Korea (South))

Detecting and Mitigating DDoS Attacks on 5G and Other Networks: A Deep Learning-Based Approach

Badre Bousalem and Vinicius F. Silva (Gustave Eiffel University, France); Rami Langar (Montreal School of Technology and Gustave Eiffel University, Canada); Sylvain Cherrier (Gustave Eiffel University, France)

Improving 6G network automation scalability with Deep Q distributed networks

Sayantini Majumdar (Huawei Munich Research Center & Technical University of Munich, Germany); Leonardo Goratti (Zodiac Aerospace, Germany); Riccardo Trivisonno (Huawei Technologies, Germany); Georg Carle (Technical University of Munich, Germany)

Contracts between blockchain-based 6G providers: auction vs market

Farhana Javed (Telecommunications Technological Center of Catalonia, Spain); Josep Mangues-Bafalluy (Catalan Technological Telecommunications Center (CTTC), Spain)


Optimized 3D placement of LiFi access points to maximize wireless network performance

Hansini Vijayaraghavan (Technical University of Munich, Germany); Jörg von Mankowski (Technical University of Munich, Germany); Stephan Pellegrino and Carmen Mas-Machuca (Technical University of Munich, Germany)

About achievable rates of evenly spaced discrete uniform distributions in the IM/DD transmission channel

Zhenyu Zhang and Anas Chaaban (University of British Columbia, Canada)

SIC-based precoding scheme with subconnect architecture for VLC MIMO systems

Congcong Wang and Yang Yang (Beijing University of Posts and Telecommunications, China); Yang Zhaohui (Zhejiang University, China); Chunyan Feng and Zhongzheng Tang (Beijing University of Posts and Telecommunications, China)

Performance Analysis of Multiple Input Single Output Links in Dense VLC Networks

Pooya Nabavi, Murat Yuksel and Kyle Renshaw (University of Central Florida, USA)

A common transmit and receive design for high-speed dimmable MC-MU-VLC systems

Yujie Yang, Yang Yang, Hailun Xia and Caili Guo (Beijing University of Posts and Telecommunications, China); Mahdi Chehimi and Walid Saad (Virginia Tech, USA)


DQN hierarchical position-based beamforming for UAVs with mmWave uplink cellular connection

Praneeth Susarla (University of Oulu, Finland); Yansha Deng (King's College London, United Kingdom (Great Britain)); Markku Juntti and Olli Silvén (University of Oulu, Finland)

UAV-assisted federated multi-community learning

Mohamad Mestoukirdi and Omid Esrafilian (EURECOM, France); David Gesbert (Eurecom Institute, France); Qianrui Li (Mitsubishi Electric R&D Center Europe, France)

Proactive deployment based on autonomous learning for UAV-assisted wireless networks

Yatong Wang (China University of Electronic Science and Technology, China); Mu Yan (North China Institute of Electronic Equipment, China); Gang Feng und Shuang Qin (China University of Electronic Science and Technology, China)

D2D-based cellular connected UAV swarm control optimization via Graph-Aware DRL

Yang Su, Hui Zhou e Yansha Deng (King's College London, Reino Unido (Grã-Bretanha))

Dynamic spectrum splitting in cellular-based urban air mobility using deep reinforcement learning

Ruixuan Han and Hongxiang Li (University of Louisville, USA); Eric Knoblock, Michael Gasper and Rafael Apaza (NASA & Glenn Research Center, USA)


Learning Knowledge Graph Representation for Wireless Communication Networks

Shiwen He und Yeyu Ou (Central South University, China); Liangpeng Wang, Hang Zhan und Peng Ren (Purple Mountain Laboratories, China); Yongming Huang (Southeast University, China)

Big data-based meta-learner generation to quickly adapt low-shot learning to wireless networks

Kexin Xiong (Beijing University of Posts and Telecommunications, China); Yao Wei (China Telecom Research Institute, China); Wei Hong (Beijing Xiaomi Mobile Software, China); Zhongyuan Zhao (Beijing University of Posts and Telecommunications, China)

How long will it take for the channel chart to become inapplicable in user relocation scenarios?: Some answers

Zhifan Wang, Yamei Xu, Ming Zhao und Sihai Zhang (Universidade de Ciência e Tecnologia da China, China); Gaoning He (Huawei Technologies, China)

Exploiting interference with multi-antenna receivers and heterogeneous throughput requirements

Zhongxiang Wei (Tongji University and School of Electronic and Information Engineering, China); Christos Masouros and Tongyang Xu (University College London, United Kingdom (Great Britain)); Yufei Jiang (Harbin Institute of Technology, Shenzhen, China)

Identification of private protocol traffic based on a statistical sequence fingerprint

Junchen Li, Guang Cheng, Zekun Jing e Haiyang Wei (Universidade do Sudeste, China)


Federated secure data sharing via edge cloud computing model

Arijit Karati (Nationale Sun Yat-sen-Universität, Taiwan); Sajal K. Das (Missouri University of Science and Technology, USA)

Cost-effective service mesh controller placement for native edge computing

Yuepeng Li und Deze Zeng (China University of Geosciences, China); Weiyin Ma (Nanjing Medical University, Nanjing, India); Feng Gao (Zhejiang Laboratory, China)

Quick-tap selection for burst message entry into a DAG-based blockchain processing node at the edge

Xun Xiao (Research Center in Munich and Huawei, Germany); Fengyang Guo (Vienna University of Technology, Austria); Artur Hecker (Huawei, Germany); Schahram Dustdar (Vienna University of Technology, Austria)

A dynamic access control model based on attributes and IntroVAE

Xiaoyan Hu, Yuelin Hu, Guang Cheng und Hua Wu (Universidade do Sudeste, China); Yifei Qin (Enlink Network Technology Co., Ltd., China); Jian Gong (Universidade do Sudeste, China)

REDIT: Resilient Distributed Text-to-Speech on Edge-Netzwerken

Teng Li (UIC, USA); Hulya Seferoglu and Erdem Koyuncu (University of Illinois at Chicago, USA)


Human health activity intelligence based on millimeter wave detection and attention learning

Yichen Gao (Illinois State University, USA); Shaoen Wu (Kennesaw State University); Noah Ziems (Illinois State University); Honggang Wang (Universität von Massachusetts, Dartmouth & College of Engineering, USA); Mahmoud Daneshmand (Stevens Institute of Technology, USA)

A secure data propagation scheme for IoT-based eHealth systems with AI and blockchain

Prabhat Kumar (LUT University, Finland); Randhir Kumar (Institute of Technology of India Hyderabad, India); Sahil Garg (Resilient Machine Learning Institute (ReMI), Canada); Kuljeet Kaur (Ecole de Technologie Supérieure, Canada); Yin Zhang (University of Electronic Science and Technology, China); Mohsen Guizani (MBZUAI, United Arab Emirates)

Systematic threat analysis of modern communication systems in healthcare

AKM Iqtidar Newaz und Ahmet Aris (Florida International University, EUA); Amit Kumar Sikder (Georgia Institute of Technology, EUA); Selcuk Uluagac (Florida International University & Electrical and Computer Engineering, EUA)

Driver vigilance detection from EEG signals using Transformer Networks

Dingcheng Gao (Tsinghua University, China); Bing Du (Beijing University of Science and Technology, China); Xiaoming Tao und Jianhua Lu (Tsinghua University, China)

FDRL approach for resource association and allocation in IoMT air-to-ground networks with multiple UAVs

Mohammed Abegaz (Hamad Bin Khalifa University, Qatar); Nahom Abishu Hayla (China University of Electronic Science and Technology, China); Abdullatif Albaseer and Aiman ​​​​​​Erbad (Hamad Bin Khalifa University, Qatar); Mohamed M. Abdallah (Hamad Bin Khalifa University (HBKU), Qatar); Mohsen Guizani (English, United Arab Emirates)


Real-time Massive MIMO channel prediction: a combination of deep learning and NeuralProphet

Muhammad Karam Shehzad and Luca Rose (Nokia Bell Labs, France); Muhammad Furqan Azam (Flemish Institute for Technological Research (VITO), Belgium); Mohamad Assaad (Centrale Supelec, France)

Machine learning-based mmWave path loss prediction for macro urban/suburban locations

William Reus-Muns (Northeastern University, USA); Jinfeng Du, Dmitry Chizhik and Reinaldo Valenzuela (Nokia Bell Labs, USA); Kaushik Chowdhury (Northeastern University, USA)

Learning variable rate codes for CSI feedback

Heasung Kim and Hyeji Kim (University of Texas at Austin, USA); Gustavo de Veciana (University of Texas at Austin, USA)

Joint feedback based on information bottlenecks and channel learning in FDD Massive MIMO systems

Jiaqi Cao e Lixiang Lian (Shanghai Tech University, China)

Securing federated learning against overwhelming conspiratorial invaders

Priyesh Ranjan, Ashish Gupta, Federico Cor e Sajal K. Das (Missouri University of Science and Technology, EUA)


List Autoencoder: towards reliable transmission based on deep learning on noisy channels

Hamid Saber (Samsung Semiconductor, Inc., USA); Homayoon Hatami (Samsung Semiconductor Inc., USA); Jung Hyun Bae (Samsung Semiconductors Inc., USA)

Resolution-adaptive source-channel encoding for end-to-end wireless image transmission

Ke Yang, Sixian Wang, Kailin Tan and Jincheng Dai (Beijing University of Posts and Telecommunications, China); Dekun Zhou (Information and Communication Division of State Grid Hubei Electric Power Company, China); Kai Niu (Beijing University of Posts and Telecommunications, China)

About the performance of autoencoder-based optical space communications

AbdELRahman Elfikky and Zouheir Rezki (University of California at Santa Cruz, USA)

Combine GAN for modulation rank resiliency to enemy attack

Eyad Shtaiwi (University of Houston, USA); Ahmed El Ouadrhiri (University of Houston 4730 Calhoun Rd, USA); Majid Moradikia, Salma Sultana, Ahmed Abdelhadi and Zhu Han (University of Houston, USA)

Deep Learning-based Sync for Uplink NB-IoT

Fayçal Ait Aoudia (NVIDIA, France); Jakob Hoydis (Nvidia, France); Sebastian Cammerer, Matthijs Van Keirsbilck and Alexander Keller (NVIDIA, Germany)


Measurement-based access control in sliced ​​networks: a best-arm identification approach

Simon Lindståhl (KTH Royal Institute of Technology & Ericsson Research, Suécia); Alexandre Prooutiere (KTH, Suécia); Andreas Johnsson (Ericsson Research, Suécia)

Decentralized coordination in partially observable queuing networks

Anam Tahir (Technical University of Darmstadt, Germany); Jiekai Jia (Germany); Heinz Koeppl (Technical University of Darmstadt, Germany)

Multiagent learning machines for adaptive online control of large-scale traffic signaling systems

Xuewei Hou, Lixing Chen, Junhua Tang e Jianhua Li (Universität Shanghai Jiao Tong, China)

Synthetic Traffic Generation with Wasserstein Generative Adversarial Networks

Chao-Lun Wu, Yu-Ying Chen, Po-Yu Chou e Chih-Yu Wang (Academia Sinica, Taiwan)

Multiagent DRL to mitigate power collisions in SGF-NOMA systems

Muhammad Fayaz (Queen Mary University of London, United Kingdom (Great Britain) and University of Malakand, Pakistan); Wenqiang Yi, Yuanwei Liu and Arumugam Nallanathan (Queen Mary University of London, United Kingdom (Great Britain))


Simultaneous RIS tuning and differential data transmission for MISO OFDM wireless systems

(Video) Darna | Episode 127 (2/3) | February 7, 2023

Kun Chen-Hu (Carlos III University of Madrid, Spain); George C. Alexandropoulos (University of Athens, Greece); Ana Garcia Armada (Carlos III University of Madrid, Spain)

A new maximum distance separable RIS-OFDM based on RIS-OFDM: design and optimization

Yiqian Huang, Ping Yang and Yue Xiao (China University of Electronic Science and Technology, China); Ming Xiao (Royal Institute of Technology, Sweden); Shaoqian Li (China University of Electronic Science and Technology, China); Wei Xiang (La Trobe University, Australia)

Power scale law for optical IRSs and comparison with optical relays

Hedieh Ajam and Marzieh Najafi (University of Erlangen-Nuremberg, Germany); Vahid Jamali (Technical University of Darmstadt, Germany); Robert Schober (University of British Columbia, Canada)

RIS-aided massive MIMO achievable sum rate NOMA

Mayushi Amaya Jayasinghe und Gayan Amarasuriya (Southern Illinois University, EUA)

System-level simulation of a RIS-compatible wireless communication system

Qi Gu, Dan Wu and Xin Su (China Mobile Research Institute, China); Hanning Wang (CMRI, China); Jingyuan Cui (Beijing University of Posts and Telecommunications, China); Yifei Yuan (China Mobile Research Institute, China)


A dynamic multicast tree selection algorithm in LEO satellite networks

Ke-Jun Zheng e Jang-Ping Sheu (Universidade Nacional Tsing-Hua, Taiwan)

Power-efficient, load-adaptive topology control in LEO Mega-Constellation networks

Long Chen (Simon Fraser University, Canada); Feilong Tang und Linghe Kong (Shanghai Jiao Tong University, China); Rui Li (Innovation Academy for Microsatélites, Chinese Academy of Sciences, China); Jiacheng Liu (Shanghai Jiao Tong University, China) ; Zhi Hou (Shanghai ASES Spaceflight Technology Co. Ltd., China); Xu Li (Shanghai Jiao Tong University, China)

LISP-LEO: Location-Based/Segregation Mobility Management for LEO Satellite Networks

Jun Hu, Tian Pan and Yujie Chen (Beijing University of Posts and Telecommunications, China); Xuebei Zhang (China Unicom Research Institute, China); Tao Huang und Yunjie Liu (Beijing University of Posts and Telecommunications, China)

Multigroup Multicast Beamforming in LEO Satellite Communications

Dapeng Wu (CQUPT, China), Chen Qin, Yaping Cui, Peng He and Ruyan Wang (Chongqing University of Posts and Telecommunications, China)

Towards fully distributed dynamic routing for LEO satellite networks through spatial positioning

Guoliang Xu, Yanyun Zhao, Yongyi Ran, Ruili Zhao e Jiangtao Luo (Universität für Post und Telekommunikation Chongqing, China)


Accelerated Maximum Probability for Sourceless Random Access Massive MIMO

Juntao You, Wenjie Wang, Shansuo Liang, Wei Han und Bo Bai (Huawei Technologies Co. Ltd., China)

Fast signal reconstruction based on compressed detection in NOMA-aided massive cell-free MIMO

Wenyuan Wang (Beijing University of Posts and Telecommunications, China); Chaowei Wang (Beijing University of Posts and Telecommunications and School of Electronic Engineering, China); Mingliang Pang (Beijing University of Posts and Telecommunications, China); Weidong Wang (Beijing University of Posts and Telecommunications, China); Fan Jiang (Xi'an University of Posts and Telecommunications, China)

Channel model mismatch analysis for XL MIMO systems from a location perspective

Hui Chen (Chalmers University of Technology, Sweden); Ahmed Elzanaty (University of Surrey, United Kingdom (Great Britain)); Reza Ghazalian (Aalto University, Finland); Musa Furkan Keskin (Chalmers University of Technology, Sweden); Riku Jäntti (Aalto University, Finland); Henk Wymeersch (Chalmers University of Technology, Sweden)

Referential approximate message delivery for quantized large MIMO detection

Atsunori Shimamura and Takumi Takahashi (Osaka University, Japan); Shinsuke Ibi (Doshisha University, Japan); Seiichi Sampei (Osaka University, Japan)

Hybrid RIS and DMA-assisted multi-user MIMO multi-user MIMO uplink exposure-sensitive transmission design

Hanyu Jiang und Li You (Southeast University, China); Jue Wang (Nantong University, China); Wenjin Wang und Xiqi Gao (Southeast University, China)


Low-complexity hybrid beamforming for integrated full-duplex mmWave and backhaul access

Elyes Balti (University of Texas at Austin, USA); Chris Dick (NVIDIA, USA); Brian L. Evans (University of Texas at Austin, USA)

Hybrid beamforming to maximize the ergodic rate of massive subsidy-free millimeter wave systems

Gangle Sun (Southeastern University, China); Xinping Yi (University of Liverpool, United Kingdom (Great Britain)); Wenjin Wang and Wei Xu (Southeastern University, China)

Active RISs: signal modeling, asymptotic analysis and beamforming design

Zijian Zhang, Linglong Dai, Xibi Chen, Changhao Liu e Fan Yang (Tsinghua University, China), Robert Schober (Friedrich-Alexander-Universität Erlangen-Nürnberg, Alemanha), H. Vincent Poor (Princeton University, EUA)

Common subchannel allocation and beamforming for multicast in ultra-dense LEO backbone networks

Ting Ma, Bo Qian, Xiaohan Qin und Xin Zhang (Universität Nanjing, China); Nan Cheng (Universität Xidian, China); Haibo Zhou (Universität Nanjing, China)

Common beamforming design in DFRC systems for wideband detection and OFDM communication

Zichao Xiao (Technische Universität Dalian, China), Rang Liu, Ming Li, Yang Liu e Qian Liu (Technische Universität Dalian, China)


Robust precoding for HF Skywave Massive MIMO with imperfect CSI

Xianglong Yu, Xiqi Gao und An-An Lu (Southeast University, China); Jinlin Zhang und Hebing Wu (Purple Mountain Laboratories, China); Geoffrey Ye Li (Imperial College London, Vereinigtes Königreich (Großbritannien))

RSMA for dual polarization Massive-MIMO networks: a SIC-free approach

Arthur Sousa de Sena (Institute of Technological Innovation (TII) and Lappeenranta-Lahti University of Technology (LUT), Finland); Pedro Henrique Juliano Henrique Juliano Nardelli (Technical University of Lappeenranta and University of Oulu, Finland); Daniel Benevides da Costa (Institute of Technological Innovation, United Arab Emirates); Petar Popovski (Aalborg University, Denmark); Constantinos B. Papadias (American College of Greece, Greece); Mérouane Debbah (Institute of Technological Innovation, France)

Massive full-duplex MIMO cellular networks with low-resolution ADC/DAC

Elyes Balti and Brian L. Evans (University of Texas at Austin, USA)

Carrier aggregation for better rate performance trade-off in Massive MIMO systems

Alessio Zappone (University of Cassino and Southern Lazio, Italy); David López-Pérez (Huawei Technologies France, France); Antonio De Domenico (Huawei Technologies Co. Ltd., Research Center France, France); Nicola Piovesan (Huawei Technologies, France); Harvey Bao (Huawei Technologies, FRC, France)

Hardware-aware pilot decontamination precoding for mMIMO multicell systems with Rician fading

Harshit Kesarwani (Indian Institute of Technology Kanpur, India); Dheeraj Naidu Amudala (Indian Institute of Technology, Kanpur, India); Venkatesh Tentu (Indian Institute of Technology Kanpur, India); Rohit Budhiraja (IIT Kanpur, India)

WC-11: OR

Triangle QAM structured constellation design for NOMA power domain uplink

Hsuan-Po Liu (University of Michigan, USA); Po-Ning Chen (National Yang Ming Chiao Tung University, Taiwan)

Energy-efficient solutions in two-user downlink NOMA systems supported by ambient backscatter

Hajar El Hassani (ETIS UMR 8051, CY Cergy Paris Universite, ENSEA, CNRS, France); Anne Savard (IMT North Europe IRCICA, France); E. Veronica Belmega (Gustave Eiffel & ENSEA University, France); Rodrigo C. de Lamare (Pontifical Catholic University of Rio de Janeiro, Brazil & University of York, United Kingdom (Great Britain))

?-fairness based user pairing for downlink NOMA systems with imperfect SIC

Siva Mouni Nemalidinne (II, India); Pavan Reddy M and Abhinav Kumar (Indian Institute of Technology Hyderabad, India); Prabhat Kumar Upadhyay (Indore Institute of Technology, India)

C-NOMA based packet remanagement for URLLC: collaboration on second phase retransmission

Chengzhe Yin, Rui Zhang, Yongzhao Li e Yuhan Ruan (Xidian University, China); Tao Tao (Nokia Bell Labs, China); Dong Li (Nokia Shanghai Bell, China)

Security analysis of the NOMA FSO/RF network in double shaded Kappa mu and Malaga M channels

Neji Mensi e Danda B. Rawat (Howard University, EUA)


Delay-Doppler domain Tomlinson-Harashima precoding for MU-MIMO OTFS downlink transmissions

Shuangyang Li (University of Western Australia, Australia and University of New South Wales, China); Jinhong Yuan (University of New South Wales, Australia); Paul Fitzpatrick (Telstra & Monash University, Australia); Taka Sakurai (Telstra and University of Melbourne, Australia); Giuseppe Caire (Technical University of Berlin, Germany)

Uplink D-MIMO processing and combination with Kalman filter

Ke Wang Helmersson (Ericsson Research, Sweden); Pål Frenger (Ericsson Research, Ericsson AB, Sweden); Anders Helmersson (Linköping University, Sweden)

Broadband terahertz communication with AoSA: aggregation and beam-splitting multiplexing

Boyu Ning, Lingxiang Li, Wenrong Chen and Zhi Chen (China University of Electronic Science and Technology, China)

New low complexity SWIPT precoding schemes

Konstantinos Ntougias and Ioannis Krikidis (University of Cyprus, Cyprus)

Enhanced deep unfolding for downlink beamforming in massive multi-cell MIMO with limited feedback

Yifan Ma, Xianghao Yu, Jun Zhang, Shenghui Song e Khaled B. Letaief (Universidade de Ciência e Tecnologia de Hong Kong, Hong Kong)

MONDAY, DECEMBER 5 4:00 pm - 5:30 pm


Integration of antenna base stations for sustainable urban mobile networks

Michela Meo, Daniela Renga and Felice Scarpa (Polytechnic of Turin, Italy)

UAV-assisted efficient far-field wireless charging for WSN

Liyu Zhang und Xilong Liu (Yunnan University, China), Nirwan Ansari (New Jersey Institute of Technology, EUA)

Dinkelbach-led deep reinforcement learning for secure communication in UAV-based MEC networks

Weidang Lu, Yu Ding, Yunqi Feng and Guoxing Huang (Zhejiang University of Technology, China); Nan Zhao (Dalian Technical University, China); Arumugam Nallanathan (Queen Mary University of London, United Kingdom (Great Britain)); Xiaoniu Yang (No.36 Research Institute of China Electronics Technology Group Corporation, China)

Computational offloading with distributed energy efficiency and trajectory planning in air margin networks

Xiaoyan Huang, Yiding Wen und Supeng Leng (China University of Electronic Science and Technology, China); Yan Zhang (University of Oslo, Norway)

Green Offloading e Trajectory Scheduling von wiederaufladbaren UAVs in Aerial Edge Networks

Ke Zhang, Jiayu Cao and Luyang Wang (China University of Electronic Science and Technology, China); Yan Zhang (University of Oslo, Norway)


Post-quantum PHY layer authentication for secure first access in V2X communication

Dongyang Xu (Xi'an Jiaotong University, China); James A. Ritcey (University of Washington, USA)

MuSigRDT: MultiSig contract-based reliable data transmission over the vehicle's social internet

Badavath Shravan Naik (Indian Institute of Technology Patna, India); Somanath Tripathy (IIT Patna, India); Susil Kumar Mohanty (Indian Institute of Technology Patna, India)

Non-cooperative learning for robust spectrum sharing in vehicles connected with malicious actors

Haoran Peng (National Yang Ming Chiao Tung University, Taiwan); Hanif Rahbari und Shanchieh Jay Yang (Rochester Institute of Technology, EUA); Li-Chun Wang (National Chiao Tung University, Taiwan)

A lightweight and secure PUF-based mutual authentication mechanism for remote keyless entry systems

Rohini Poolat Parameswarath and Biplab Sikdar (National University of Singapore, Singapore)

IDS for CAN: A practical intrusion detection system for CAN bus security

Brooke Lamp (Georgia Institute of Technology, USA); Weizhi Meng (Technical University of Denmark, Denmark)


APBFT: An Adaptable PBFT Consensus for Private Blockchains

Mohamed-El-Amine Brahmia (LINEACT CESI); Abdelhafid Abouaissa (University of Haute Alsace, France); Lhassane Idoumghar (University of Haute Alsace and IRIMAS Institute, France); Kenza Riahi (IRIMAS, University of Haute Alsace & LINEACT CESI, Strasbourg, France)

Using blockchain to improve isolation of network slices

Muhammad Muhammad Bala e Liqiang Zhao (Universidade de Xidian, China); Zhen Gao (Universidade de Tianjin, China)

A picture is worth a thousand words: a new wallet recovery process

Hervé Chabanne (Idemia & Telecom Paris, France); Vincent Despiegel (Idemia, France); Linda Guiga (Idemia & Telecom Paris, France)


Planned time-sensitive streaming possibilities via Wi-Fi

Dmitry Akhmetov, Dibakar Das and Dave A. Cavalcanti (Intel Corporation, USA); Javier Perez-Ramirez (INTEL Corporation, USA); Laurent Cariou (Intel Corporation, USA)

Fast Wireless Backhaul: A multi-connectivity mmWave cellular system

Athanasius Koutsaftis e Mustafa F. Ozkoc (New York University, EUA); Friday Fund (NYU Tandon School of Engineering, EUA); Pei Liu (Universität New York, EUA); Shivendra Panwar (New York University & Tandon School of Engineering, EUA)

Performance tuning in URLLC via parallel fading channels in finite block length regime

Hongsen Peng e Meixia Tao (Universidade de Xangai Jiao Tong, China); Tobias Kallehauge e Petar Popovski (Aalborg University, Dinamarca)

Evaluate metadistribution in mmW D2D networks with beam misalignment

Yibo Quan (LTCI, Telecom Paris, Institut Polytechnique de Paris & Orange Labs, France); Marceau Coupechoux (LTCI, Telecom Paris, Polytechnic Institute of Paris, France); Jean-Marc Kelif (Orange Laboratories, France)

Increasing fault tolerance and throughput with adaptive control plane in smart factories

Cao Vien Phung and Admela Jukan (Technical University of Braunschweig, Germany)


A new Sybil attack detection engine for mobile IoT networks

Silk Do?an-Tusha (Hamad Bin Khalifa University, Turkey); Saud Althunibat (Al Hussein Bin Talal University, Jordan); Marwa Qaraqe (Hamad Bin Khalifa University, Qatar)

Machine learning-based adversarial threat anticipation for vehicle-to-microgrid services

Ahmed Omara and Burak Kantarci (University of Ottawa, Canada)

Malfunction detection in vehicle networks: a joint learning approach

Roshan Sedar, Charalampos Kalalas and Paolo Dini (Catalan Technological Telecommunications Center (CTTC), Spain); Jesus Alonso-Zarate (i2CAT Foundation, Spain); Francisco Vázquez-Gallego (i2CAT, Spain)

Fake data injection attacks on low voltage distribution systems

Panagiotis Radoglou-Grammatikis (University of Western Macedonia, Greece); Christos Dalamagkas (Public Power Corporation S.A. & University of Western Macedonia, Greece); Thomas Lagkas (International Hellenic University, Kavala Campus & South-East European Research Centre, Greece); Magda Zafeiropoulou, Maria Atanasova and Pencho Zlatev (Innovative Energy and Information Technologies LTD, Bulgaria); Alexandros-Apostolos A Boulogeorgos (University of Piraeus, Greece); Vasilis Argyriou (Kingston University, United Kingdom (Great Britain)); Evangelos K. Markakis (Hellenic University of the Mediterranean, Greece); Ioannis Moscholios (University of Peloponnese, Greece); Panagiotis Sarigiannidis (University of Western Macedonia, Greece)


A robust CSI-based passive perception method using CNN and attention-based bidirectional LSTM

Zhengran He (University of Posts and Telecommunications, Nanjing, China); Guozhen Xu (National University of Defense Technology, China); Siyuan Xu, Yu Wang and Guan Gui (Nanjing University of Posts and Telecommunications, China); Haris Ga?anin (RWTH Aachen University, Germany); Fumiyuki Adachi (Tohoku University, Japan)

Robust and efficient modulation detection with Pyramid Signal Transformer

He Su, Xinyi Fan and Huajun Liu (Nanjing University of Science and Technology, China)

Modulation signal detection based on selective knowledge transfer

Huaji Zhou (No. 36 Research Institute of CETC, China), Xu Wang (Xidian University, China), Jing Bai (Escola de Inteligência Artificial, Xidian University, China), Zhu Xiao (Hunan University, China)

CNN-enabled identification of multiple power levels in cognitive radio networks

Zhenyu Tan (Xidian University, China); Qi Liu (Xinjiang Astronomical Observatory, Chinese Academy of Sciences, China); Zan Li and Danyang Wang (Xidian University, China); Ning Zhang (University of Windsor, Canada); (Baptist University of Hong Kong, Hong Kong)

Pilot project and signal detection for symbiotic radio over OFDM carrier

Hao Chen, Qianqian Zhang, Ruizhe Long und Ying-Chang Liang (China University of Electronic Science and Technology, China)


Towards coverage-aware cooperative video caching in LEO satellite networks

Ruili Zhao, Yongyi Ran and Jiangtao Luo (Chongqing University of Posts and Telecommunications, China); Shuangwu Chen (University of Science and Technology of China, China)

Trans-RL: a predictive control approach for QoE-enabled point cloud video streaming

Cunhui Zhang und Yangjie Cao (Zhengzhou University, China); Zhi Liu (The University of Electro-Communications, Japão); Rui Yin (Zhejiang University City Colle, China & KwaZulu-Natal University, Südafrika); Yongdong Zhu (Zhejiang Lab, China ); Xianfu Chen (Centro de Pesquisa Técnica VTT da Finlândia, Finlândia)

Distributed routing controller for large live video streams over real-time networks

Rui Li, Jessie Hui Wang und Chao Xu (Tsinghua University, China); Tao Yu (Tsinghua University & Network, China); Jilong Wang (Tsinghua University, China); Hao Wu und Kai Zheng (Huawei Technologies, China)

P2P CDN Hybrid Architecture for Live Video Streaming: An Online Learning Approach

Reza Farahani (University of Klagenfurt, Austria); Abdelhak Bentaleb (National University of Singapore, Singapore); Ekrem Çetinkaya (Alpen-Adria-Universität Klagenfurt & Christian Doppler Laboratory ATHENA, Austria); Christian Timmerer (Alpine-Adriatic University of Klagenfurt, Austria); Roger Zimmermann (National University of Singapore, Singapore); Hermann Hellwagner (Klagenfurt University, Austria)

Subjective evaluation of the quality of cloud mobile gaming experience

Henrique. Rossi (Lulea University of Technology, Sweden); Niclas Ögren (InfoVista, Sweden); Karan Mitra (Luleå University of Technology, Sweden); Irina Cotanis (Infovista, Sweden); Christer Åhlund (Lulea University of Technology, Sweden); Per Johansson (Infovista Sweden AB, Sweden)


Minify MapReduce hardcoded with predefined data and role assignments

Yuhan Wang and Youlong Wu (Shanghai Technical University, China)

Multi-antenna encoded asymmetric cache for location-based content delivery

Hamidreza Bakhszad Mahmoodi, Mohammad Javad Salehi and Antti Tölli (Universität Oulu, Finland)

Optimal bandwidth allocation for multicast cache-based on-demand streaming over wireless networks

Mohsen Amidzadeh and Olav Tirkkonen (Aalto University, Finland); Giuseppe Caire (Technical University of Berlin, Germany)

Over-the-Air Federated Learning with Energy Harvesting Devices

Ozan Aygun (University of New York, USA); Mohammad Kazemi (Bilkent University, Turkey); Deniz Gündüz (Imperial College London, United Kingdom (Great Britain)); Tolga M. Duman (Bilkent University, Turkey)


Modeling evapotranspiration in IoT-based WSN for irrigation planning: a simplified DL approach

Himanshu Sharma (Thapar Institute of Engineering and Technology, India); Gitika Sharma (Universität Chandigarh, Gharuan, India); Sushma Jain (Thapar-Universität, India); Neeraj Kumar (Thapar University Patiala, India); Pulkit Nehra (Chandigarh University Chandigarh, India)

Edge SLAM Optimization: Prudent parameter settings and parallelized map updates

Peter Sossalla (Technical University of Dresden, Germany); Johannes Hofer (TU Dresden, Germany); Justus Rischke, Johannes Busch and Giang T. Nguyen (Technical University of Dresden, Germany); Martin Reisslein (Arizona State University, USA); Frank HP Fitzek (Technical University of Dresden & ComNets - Communication Networks Group, Germany)

Optimizing sync times to track the location of a mobile asset in non-GPS environments

Caleb M. Bowyer, John M. Shea, Tan Wong and Warren Dixon (University of Florida, USA)

Optimal mobile IRS deployment with reinforcement learning encoder decoders

Adel Mounir Said (National Telecommunications Institute (NTI), Egypt); Mohammed Laroui (Paris Cité University, France); Chérifa Boucetta (University of Reims Champagne-Ardenne & Crestic, France); Hossam Afifi (Télécom SudParis, Institut Telecom & Paris Saclay, France); Hassine Moungla (University of Paris & Institute Mines Telecom, France)

The role of feedback in optimizing AoI with limited streaming opportunities

Andrea Munari (German Aerospace Center (DLR), Germany); Leonardo Badia (University of Padua, Italy)


Design of a cyberphysical security testbed for a multi-level manufacturing system

Stephen J. Coshatt (University of Georgia and United States Air Force, USA); Qi Li, Bowen Yang, Shushan Wu, Darpan Shrivastava, Jin Ye und WenZhan Song (University of Georgia, USA); Frank Zahiri (AFSC 402 CMXG, USA)

The limits of unsupervised machine learning to identify malicious nodes in IoT networks

Selma Sadek, Abdelhafid Abouaissa and Pascal Lorenz (University of Haute Alsace, France)

Cluster-based intelligent system to detect rare attacks on IoT networks

Muder Almiani (Gulf University of Science and Technology, Kuwait); Alia AbuGhazleh (IEEE Jordan Section, Jordan); Yaser Jararweh (Jordan University of Science and Technology, USA); Abdul Razakh (International IT University, Kazakhstan)

Reconstruction of human trajectories based on anonymous sensor data to estimate the route of infection

Kotaro Matsuda (NTT, Japan); Hiroki Ikeuchi (NTT Corporation, Japan); Yousuke Takahashi (NTT, Japan); Tsuyoshi Toyono (NTT Corporation, Japan)

Security-aware node switching and incremental updates on industrial IoT platforms

Wassim Itani and Maha Shamseddine (George Mason University, USA); Elisha J Hosey-Stewart (University of Houston-Victoria, USA)


Multi-Gateway Demodulation in LoRa

Alexandre Guitton (University of Clermont Auvergne, France); Megumi Kaneko (National Institute of Informatics, Japan)

Packet delivery rate guarantees for differentiated LoRaWAN services

Alessandro Aimi and Fabrice M. Guillemin (Orange Labs, France); Stephane Rovedakis (CNAM, Cedric Laboratory, France); Stefano Secci (CNAM, France)

LoRaWAN downlink fundamentals and performance: an experimental approach

Mohamed Hamnache (University of Toulouse, France); Rahim Kacimi (IRIT/UPS, University of Toulouse, France); André-Luc Beylot (University of Toulouse, France)

LoRaLOFT-A malicious node detection method based on local outlier factor at MAC layer for LoRaWAN

(Video) The Iron Heart | Episode 61 (1/2) | February 6, 2023

Jalel Ben Othman (Centrale Supélec & Sorbonne University Paris Nord, France); Mi Chen (Paris Est Creteil University, LACL, France); Lynda Mokdad (University of Paris 12 and LACL Laboratory, France); Jean-Michel Fourneau (University of Versailles, Lab. DAVID, France)

Precise location of aircraft cabin on board with UWB and ML

Dominic A. Schupke (Airbus Defence and Space GmbH & Airbus Central Research and Technology, Deutschland); Fabien Geyer (Airbus, Alemanha)


LTE-like paging and sync for ambient backscatter

Yunyun Feng und Wei Gong (China University of Science and Technology, China)

Robust unicast and non-orthogonal multicast beamforming in integrated terrestrial satellite networks

Deyi Peng (Chongqing University of Posts and Telecommunications, China); Stavros Domouchtsidis and Symeon Chatzinotas (University of Luxembourg, Luxembourg); Yun Li (ChongQing University of Posts and Telecommunications, China); Björn Ottersten (University of Luxembourg, Luxembourg)

An Efficient Codebook-Based Radio Parameter Optimization Method for Mobile Networks

Linzhi Shen e Shaowei Wang (Universität Nanjing, China)

Evaluate the costs of deploying Network Slice-as-a-Service in an end-to-end 5G test environment

Tolga O Atalay (Virginia Polytechnic Institute and State University, USA); Dragoslav Stojadinovic (Cryptowire LLC, USA); Alireza Family (Virginia Tech, USA); Angelos Stavrou (Virginia Tech & Cryptowire, USA); Haining Wang (Virginia Tech, USA)

Spectral efficiency analysis of decoupled uplink-downlink access in C-V2X networks

Luofang Jiao, Kai Yu, Yunting Xu, Tianqi Zhang e Haibo Zhou (Universität Nanjing, China); Sherman Shen (Universität Waterloo, Kanada)

Lyapunov drift-based scheduling for short packet transmission with finite block length encoding

Yuanrui Liu (Universidade de Tsinghua, China); Joohyun Lee (Hanyang University, Coréia (Sul)); Yuxing Han (Instituto de Pesquisa da Universidade Tsinghua em Shenzhen, Hong Kong); Wei Chen (Universidade de Tsinghua, China)


Improved automatic attack detection through spectral decomposition of network flows

Lucas Airam Castro de Souza (COPPE/UFRJ & GTA, Brasilien); Gustavo F. Camilo (Bundesuniversität Rio de Janeiro, Brasilien); Miguel Elias M. Campista (Federal University of Rio de Janeiro & GTA, Brasilien); Luis Henrique M. K. Costa (Bundesuniversität Rio de Janeiro, Brasilien); Otto Carlos M. B. Duarte (Bundesuniversität Rio de Janeiro, Brasilien)

Edge compute-ready intrusion detection for C-V2X networks with federated learning

Aymene Selamnia (University of Burgundy Franche-Comté, France); Sidi-Mohammed Senouci (University of Burgundy ISAT Nevers, France); Bouziane Brik (University of Burgundy, France); Abdelwahab Boualouache (University of Luxembourg, Luxembourg); Shajjad Hossain (University of Burgundy, France and Drive Laboratory, France)

Device identification in the presence of MAC randomization

Ihab Zhaika (Hebrew University of Jerusalem, Israel); David Hay (Hebrew University of Jerusalem, Israel)

ApkClassiFy: Identifying and Classifying Bundled Malicious Android Apps

Xu Guo und Tao Zheng (Universität SiChuan, China); Xingshu Chen und Qixu Wang (Universität Sichuan, China); Jiang Shao und Zhijie Hu (Universität SiChuan, China)

A new intrusion detection system for next-generation vehicular networks

Zhouyan Deng (Universidade de Xidian, China); Yijie Xun und Jiajia Liu (Northwestern Polytechnical University, China); Shouqing Li (Shaanxi Branch of China United Network Communications Group Co., Ltd., China); Yilin Zhao (Escola de Cibersegurança, Universidade Politécnica do Noroeste, China)


Optimizing interaction-based caching performance in CCN

Fariborz Derakhshan and Andreas Timm-Giel (Technical University of Hamburg, Germany)

Cache pricing mechanism for ICN in multi-content provider scenario

Rujie Peng, Quan Zheng, Xiaobin Tan, ZhengHuan Xu, Yan Wenliang e Yang Feng (Universidade de Ciência e Tecnologia da China, China)

CaMP-INC: Component-Aware Microservices Collocation for Cloud-Edge Continuum Network Computing

Soukaina Ouledsidi Ali (Universität Quebec in Montreal, Canada); Halima Elbiaze (Universität Quebec in Montreal, Canada); Roch Glitho (Concordia University, Canada); Wessam Ajib (Universität Quebec in Montreal, Canada)

To consolidate the Internet Domain Name System

Luciano Zembruzki, Arthur Jacobs and Lisandro Z Granville (Federal University of Rio Grande do Sul, Brazil)

About the average cost and latency of migrating to next-generation networks

Mohammad Javad-Kalbasi (Universität Toronto, Kanada); Mikinori Kobayashi (NTT Electronics Cross Technologies Corp. & Fujitsu Consulting (Kanada) Inc, Japan); Hidetoshi Matsumura and Masahiko Sugimura (Fujitsu Consulting (Canada) Inc., Kanada); Xi Wang (Fujitsu Network Communications Inc., USA); Paparao Palacharla (Fujitsu Network Communications, USA); Shahrokh Valaee (University of Toronto, Canada)


Self-taught black box attack on multi-layer network automation

Xiaoqin Pan und Zuqing Zhu (China University of Science and Technology, China)

Modeling the evolution of mild failure to trigger timely repair with low QoT margins

Sadananda Behera (Universität Zypern, Zypern); Tania Panayiotou (University of Cyprus and KIOS Research Centre, Zypern); Georgios Ellinas (University of Cyprus and KIOS Research and Innovation Center of Excellence, Zypern)

Optical network authentication using Rayleigh backscatter fingerprinting of composite fibers

Pantea Nadimi Goki, Thomas Teferi Mulugeta and Nicola Sambo (Sant'Anna School of Advanced Studies, Italy); Roberto Caldelli (CNIT Research Center Florence, Italy); Luca Potì (National Interuniversity Telecommunications Consortium, Italy)

Strategic collaboration between data center providers and optical network operators for disaster recovery

Subhadeep Sahoo (University of California, Davis, USA); Sugang Xu (National Institute of Information and Communication Technology, Japan); Sifat Ferdousi (University of California, Davis, USA); Yusuke Hirota (National Institute of Information and Communication Technology, Japan); Massimo Tornatore (Politecnico di Milano & University of California, Davis, Italy); Yoshinari Awaji (National Institute of Information and Communication Technology (NICT), Japan); Biswanath Mukherjee (University of California, Davis, USA)

CycleDCN: A Scalable Architecture for Data Center Optical Networks

Hao Wang and Bing Hu (Zhejiang University, China); Pei Xiao (University of Surrey, United Kingdom (Great Britain))


A controller-based design for 3D trajectory optimization of fixed-wing UAV communications

Bin Li e Yiyan Zhang (Universidade de Sichuan, China); Yong Zeng (Universidade do Sudeste, China); Cedric Yiu (Hong Kong); Rui Zhang (Universidade Nacional de Singapura, Singapura)

AoI-enabled scheduling and trajectory optimization for wireless networks supported by multiple UAVs

Yusi Long (Sun Yat-Sen University, China); Wenjie Zhang (Minnan Normal University, China); Shimin Gong (Sun Yat-Sen University, China); Xiaoling Luo (China Three Gorges Corporation, China); Universität, Singapura)

3D UAV BS positioning and backhaul management in cellular network via stochastic optimization

Zahra Rahimi, Reza Ghanbari and Amir Hossien Mohajerzadeh (Ferdowsi University of Mashhad, Iran); Hamed Ahmadi (University of York, United Kingdom (Great Britain)); Mehdi Sookhak (Texas A&M University, USA and Texas AM University, USA)

Trajectory optimization for fast recharge of sensor energy using UAVs as RF sources

Igor Dias da Silva (Universidade da Côte d'Azur, France); Yann Busnel (IMT Atlantique & IRISA, France); Christelle Caillouet (Universidade da Côte d'Azur, CNRS, Inria, I3S, France)

Common neural network for trajectory design and communication in multi-UAV systems

Qiushuo Hou, Yunlong Cai, Qiyu Hu, Mengyuan Lee und Guanding Yu (Universität Zhejiang, China)


Blockchain's performance and security tradeoff for sharing data at the edge of the network

Yixin Li, Liang Liang, Yunjian Jia, Wanli Wen e Zhengchuan Chen (Universität Chongqing, China)

Adaptive quantization based on Ensemble Distillation to support FL-enabled edge intelligence

Yijing Liu, Shuang Qin and Gang Feng (China University of Electronic Science and Technology, China); Dusit Niyato (Nanyang Technological University, Singapore); Yao Sun (University of Glasgow, United Kingdom (Great Britain)); Jianhong Zhou (Xihua University, China)

Deep Reinforcement Learning Guided Task Reverse Offloading in Fahrzeug-Edge-Computing

Anqi Gu und Huaming Wu (Tianjin University, China); Huijun Tang (Hangzhou Dianzi University, China); Chaogang Tang (College of Computer Science and Technology, CUMT, Xuzhou, Jiangsu, China)

Deep learning-based task offloading and time allocation for edge computing WBANs

Rongrong Zhang, Hui Li, Yingying Qiao und Mengyu Li (Capital Normal University, China), Xu Xia (China Telecom Research Institute, China)

Deep reinforcement learning-based container cluster placement strategy in an edge computing environment

Bowen Zhu e Zhuo Chen (Universidade de Tecnologia de Chongqing, China)


Deep reinforcement learning for latency-aware online workload offloading in mobile edge computing

Zeinab Akhavan and Mona Esmaeili (University of New Mexico, USA); Babak Badnava (University of Kansas, USA); Mohammad Yousefi (University of New Mexico, USA); Xiang Sun and Michael Devetsikiotis (University of New Mexico, USA); Payman Zarkesh-Ha (University of New Mexico, USA)

Deep Reinforcement Learning based contract incentive for UAVs and Energy Harvest Assisted Computing

Che Chen (Minnan Normal University, China); Shimin Gong (Sun Yat-Sen University, China); Wenjie Zhang und Yifeng Zheng (Minnan Normal University, China); Chai Kiat Yeo (Nanyang Technological University, Singapura)

Joint optimization of DNN inference delay and power under accuracy constraints for Guangjin Pan, Heng Zhang, Shugong Xu, Shunqing Zhang and Xiaojing Chen AR applications (University of Shanghai, China)

A2C Learning for Task Segmentation with Cooperative Computing in Edge Computing Networks Yukun Sun und Xing Zhang (Beijing University of Posts and Telecommunications, China)

Power-efficient, layer-aware scheduling of DNN inference tasks on the GPU cluster

Hongmin Gen (China University of Geosciences, Wuhan, China), Deze Zeng und Yuepeng Li (China University of Geosciences, China)


A data transmission protocol that preserves privacy with constant interactions in e-health

Huijie Yang (University of Information Science and Technology, Nanjing, China); Jian Shen (Nanjing University of Information Science and Technology, China); Mohammad S. Obaidat (University of Jordan, USA); P Vijayakumar (Melpakkam, India); Kuei-Fang Hsiao (University of Texas - Permian Basin, USA)

Doppler ultrasound signal quality assessment based on unsupervised representational learning

Xintong Shi, Kohei Yamamoto and Tomoaki Ohtsuki (Keio University, Japan), Yutaka Matsui (Atom Medical Corp. Japan, Japan), Kazunari Owada (Atom Medical Corp., Japan)

Path-based fall detection and detection using ultra-wideband signals

Anna Li (Queen Mary University of London, United Kingdom (Great Britain)); Eliane L. Bodanese (Queen Mary, University of London, United Kingdom (Great Britain)); Tianwei Hou (Beijing Jiaotong University, China); Stefan Poslad (Queen Mary University of London, United Kingdom (Great Britain)); Fei Luo and Kaishun Wu (University of Shenzhen, China)

Deep learning-based fetal arrhythmia detection using fetal ECG signals

Sara Nakatani (Keio University, Japão); Kohei Yamamoto e Tomoaki Ohtsuki (Keio University, Japão)

Classification of cardiac arrhythmias based on electrocardiogram signals

Xinyi Wu (University of California, Santa Cruz, USA); Zouheir Rezki (University of California, Santa Cruz, USA)


Spectrum sharing by mobile network operators based on deep reinforcement learning in 5G and beyond

Yi-Huai Hsu, Chen-Fan Chang e Chao-Hung Lee (Yuan Ze University, Taiwan)

DDQN-based adaptive bandwidth control in NR-V2X networks

Abdelkader Mekrache (University of Poitiers, France); Abbas Bradai (XLIM Institute, University of Poitiers, France); Emmanuel Moulay (CNRS and University of Poitiers, France)

Learn to efficiently hybrid precode for mmWave systems with mathematical properties

Shengjie Liu, Jia Guo und Chenyang Yang (Universität Beihang, China)

Gridless mmWave beam alignment via deep learning

Yuqiang Heng (University of Texas at Austin, USA); Jeffrey Andrews (University of Texas at Austin, USA)

Data driven blind synchronization and interference rejection for digital communication signals

Alejandro Lancho and Amir Weiss (Massachusetts Institute of Technology, USA); Gary CF Lee and Jennifer Tang (MIT, USA); Yuheng Bu (Massachusetts Institute of Technology, USA); Yury Polyanskiy and Gregory Wornell (MIT, USA)


Distributed reinforcement learning for low-latency uplink user scheduling in multicellular networks

Apostolos Destounis and Dimitrios Tsilimantos (Paris Research Center, Huawei Technologies Co. Ltd., France)

A hybrid HARQ feedback prediction approach for individual RANs and sub-THz cloud

Bar?? Goktepe (Fraunhofer Heinrich Hertz Institute, Germany); Cornelius Hellge and Thomas Schierl (Fraunhofer HHI, Germany); Slawomir Stanczak (Technical University of Berlin and Fraunhofer Heinrich Hertz Institute, Germany)

Accurate communication traffic prediction with Multi-Source Adaptive Feature Boosting

Chengming Hu (McGill University, Canada); Ju Wang (Samsung Electronics Canada, Canada); Di Wu (Samsung Electronics, Canada); Xue Liu (McGill University, Canada); Gregory Dudek (Samsung Electronics, Canada)

Learning generalized wireless MAC communication protocols via abstraction

Luciano Miuccio and Salvatore Riolo (University of Catania, Italy); Sumudu Samarakoon (University of Oulu, Finland); Daniela Panno (University of Catania, Italy); Mehdi Bennis (Wireless Communications Centre, University of Oulu, Finland)

QoS-aware task scheduling based on reinforcement learning for the cloud-fog continuum

Judy C. Guevara (State University of Campinas, Brazil); Ricardo Torres (Norwegian University of Science and Technology, Norway); Luiz F. Bittencourt (University of Campinas, Brazil); Nelson L. S. da Fonseca (State University of Campinas, Brazil)


Scalable beamforming design based on RIS partitioning for large-scale MIMO

Chang Cai (Chinese University of Hong Kong, Hong Kong); Xiaojun Yuan (China University of Electronic Science and Technology, China); Ying Jun (Angela) Zhang (Chinese University of Hong Kong, Hong Kong)

EMF-aware MU-MIMO beamforming in RIS-based cellular networks

Yi Yu (Orange, France); Rita Ibrahim (Centrale Supelec & Orange Labs, France); Dinh-Thuy Phan-Huy (Orange, France)

For efficient MIMO transmission design supported by RIS

Hong Niu, Lei Xia, Yue Xiao and Ng Miao (China University of Electronic Science and Technology, China); Ming Xiao (Kenniglis Institute of Technology, Sweden); Shahid Mumtaz (Institute of Telecommunications, Portugal)

Beamforming broadcast and reflection ensemble for RIS-assisted secret key generation

Lei Hu and Guyue Li (Southeastern University, China); Xuewen Qian (Central Supelec, France); Derrick Wing Kwan Ng (University of New South Wales, Australia); Hu Aiqun (Southeastern University, China)

Coverage improvements with NR integrated with RIS

Visa Tapio (Universität Oulu, Finland); Arman Shojaeifard und Deepa Jagyasi (InterDigital, Vereinigtes Königreich (Great Britain)); Pekka Pirinen and Markku Juntti (Universität Oulu, Finland)


AI based ground station as a service to download satellite data with optimal cost latency

Gandhimathi Velusamy und Ricardo Lent (Universidade de Houston, EUA)

Flexible allocation of machine learning-based payload power resources for non-orthogonal SATCOM

Yazhou Zhu, Christian A. Hofmann and Andreas Knopp (University of the Federal Armed Forces of Munich, Germany)

ZTEI: Zero-Trust and Edge Intelligence Support Seamless Authentication for Satellite Networks

Peiyu Fu (Shanghai Jiaotong University, China); Jun Wu und Xi Lin (Shanghai Jiaotong University, China); Ao Shen (The University of Hong Kong, Hong Kong)

An AI-driven load balancing scheme in satellite-based and cloud-edge collaboration networks

Chao Fang, Yihui Yang, Zhaoming Hu und Zhuwei Wang (Beijing University of Technology, China); Hongwei Shi (Purple Mountain Laboratory: Networking, Communications and Security, Nanjing, China)

FL task-aware routing and resource reservation in satellite networks

Peng Wang and Hongyan Li (Xidian University, China); Binbin Chen (Singapore University of Technology and Design, Singapore)


Distributed Precoding Design for Multi-Group Multicast in Cellless Massive MIMO

Bikshapathi Gouda, Italo Atzeni and Antti Tölli (Universität Oulu, Finland)

A mapping preservation measure for Grassmann constellations structured in SIMO channels

Diego Cuevas and Javier Alvarez-Vizoso (University of Cantabria, Spain); Carlos Beltran and Ignacio Santamaria (University of Cantabria, Spain); Vit Tu?ek and Gunnar Peters (Huawei Technologies, Sweden)

Dynamically connected hybrid precoding for MIMO OFDM systems with low resolution phase shifters

Shao-Xuan Yu e Ming-Chun Lee (Universidade Nacional Yang Ming Chiao Tung, Taiwan); Ta-Sung Lee (Universidade Nacional de Chiao Tung, Taiwan)

Linear MIMO precoder design for finite alphabet inputs through modelless training

Chen Cao, Biqian Feng und Yongpeng Wu (Shanghai Jiao Tong University, China); Derrick Wing Kwan Ng (University of New South Wales, Austrália); Wenjun Zhang (Shanghai Jiao Tong University, China)

Constellation-oriented perturbation for non-linear MIMO precoding with scalable complexity

Jinfei Wang (Institute of Communication Systems, University of Surrey, United Kingdom (Great Britain)); Yi Ma, Na Yi, and Rahim Tafazolli (University of Surrey, United Kingdom (Great Britain)); Fei Tong (Samsung Cambridge Solution Centre, United Kingdom (Great Britain))


Parametric channel estimation in mmWave using atomic norm

Matilde Sanchez-Fernandez (Carlos III University of Madrid, Spain); Antonia Tulino (Bell Labs, USA and Federico II University, Italy); Adrian Vega Delgado and Alvaro Callejas-Ramos (Carlos III University of Madrid, Spain)

Multibeam design for extremely wide area RIS-assisted near-field wireless communication Decai Shen and Linglong Dai (Tsinghua University, China)

Single snapshot localization for near-field RIS model using atomic norm minimization Omar Rinchi (Missouri University of Science and Technology, USA); Ahmed Elzanaty (University of Surrey, United Kingdom (Great Britain)); Ahmad Alsharoa (Missouri University of Science and Technology, USA)

Common Detection and Stream Optimization on IRS-Backed CRNs: Maximizing Throughput

Wei Wu and Zi Wang (University of Posts and Telecommunications, Nanjing, China); Baoyun Wang (University of Automation, Nanjing University of Posts and Telecommunications, China); Fuhui Zhou and Qihui Wu (Nanjing University of Aeronautics and Astronautics, China); Naofal Al-Dhahir (University of Texas at Dallas, USA)

Quantum neural networks for optimal resource allocation in cellless MIMO systems

Bhaskara Narottama (National Institute of Technology Kumoh, Korea (South)); Trung Q. Duong (Queen's University Belfast, United Kingdom (Great Britain))


Massive cell-free MIMO with low resolution ADCs and I/Q imbalance in spatially correlated channels

Zhilong Liu, Jiayi Zhang e Zhe Wang (Beijing Jiaotong University, China); Bo Ai (Beijing Jiaotong University & State Key Lab of Rail Traffic Control and Safety, China); Derrick Wing Kwan Ng (Universidade de New South Wales, Austrália)

A Slotted Unsourced Random Access Scheme with a Massive MIMO receiver

Mert Ozates, Mohammad Kazemi and Tolga M. Duman (Bilkent University, Turquia)

Massive MIMO analysis of multiple hardware-deficient cells with ritian fading and phase shifts

Dheeraj Naidu Amudala and Sauradeep Dey (Indian Institute of Technology, Kanpur, India); Rohit Budhiraja (IIT Kanpur, India)

A realistic path loss model for massive cell-free MIMO in urban environments

Thomas Choi (University of Southern California, USA); Issei Kanno and Masaaki Ito (KDDI Research, Inc., Japan); Wei-Yu Chen and Andreas Molisch (University of Southern California, USA)

Restricted Vandermonde tensor decomposition for hybrid beam formation in multicarrier MIMO systems

Mohamed Salah Ibrahim and Akshay Malhotra (InterDigital, EUA); Shahab Hamidi-Rad (Interdigitale Kommunikation, EUA); Arnab Roy (InterDigital Communications, EUA); Mihaela Beluri (Interdigital, EUA)


Difficult Delay Constrained Communications über Parallel Fading Channels

Changkun Li and Wei Chen (Tsinghua University, China); H. Vincent Poor (Princeton University, USA)

Dynamic range improvement in bistatic backscatter communications with distributed MIMO

Ahmet Kaplan (University of Linköping, Sweden); João Vieira (Ericsson, Sweden); Erik G. Larsson (Linköping University, Sweden)

Performance Evaluation of Metasurface Dynamic Antennas: Influence of Insertion Loss and Coupling

Pablo Ramirez-Espinosa, Robin Williams, Jide Yuan and Elisabeth de Carvalho (Aalborg University, Denmark)

DFT-based high-bandwidth line-of-sight MIMO communications

Mohammad Mahdi Mojahedian and Masoud Attarifar (University of Pompeu Fabra, Spain); Angel Lozano (Pompeu Fabra University (UPF), Spain)

A common PHY and MAC layer design for massive MIMO encoded random access

Lorenzo Valentini, Marco Chiani and Enrico Paolini (Universität Bologna, Italy)


MIMO OFDM downlink with memory-intensive hardware non-linearities

Nikolaos Kolomvakis (Ericsson AB, Sweden); George Jongren (Ericsson Research, Sweden); Ulf Gustavsson (Ericsson AB, Sweden); Bo Göransson (Ericsson, Suécia & KTH, Royal Institute of Technology, desconhecido)

Regularized Ising formulation for near-optimal MIMO detection with quantum-inspired solvers

Abhishek Kumar Singh and Kyle Jamieson (Princeton University, USA); Peter L. McMahon (Cornell University, USA); Davide Venturelli (NASA, USA)

Perturbation-based formulation of maximum likelihood MIMO detection for coherent Ising machines

Abhishek Kumar Singh (Princeton University, USA); Davide Venturelli (USRA Research Institute for Advanced Computer Science); Kyle Jamieson (Princeton University, USA)

Sparse vector codes for MIMO ISI channels with low resolution ADCs

(Video) The Iron Heart | Episode 62 (1/3) | February 7, 2023

Yunseo Nam (Seoul National University, Korea (South)); Yo-Seb Jeon (POSTECH, Korea (South)); Byonghyo Shim (Seoul National University, Korea (South))

Combining blind equalization and automatic modulation sorting in a loop structure

National University of Singapore, Singapore


How do you hold a virtual symposium? ›

11 Strategies for Organizing a Virtual Conference
  1. Identify Your Audience. ...
  2. Choose the Right Virtual Event Tool. ...
  3. Create an Agenda. ...
  4. Prepare Your Speakers. ...
  5. Determine How You'll Engage Your Virtual Audience. ...
  6. Connect With and Engage Your Sponsors. ...
  7. Spread the Word. ...
  8. Create a Plan to Combat Technical Difficulties.

How do I get the most out of my virtual conference? ›

10 top tips for attending a virtual conference
  1. Set your goals. It is important to clearly know why you are attending the virtual conference. ...
  2. Block out your diary. ...
  3. Familiarise yourself with the platform. ...
  4. Schedule your day. ...
  5. Take breaks. ...
  6. Interact with others. ...
  7. Connect on social. ...
  8. Create a working space.

How do you make a successful virtual event? ›

15 Tips and Tricks for Hosting a Successful Online Event
  1. Know your target audience. ...
  2. Define event goals. ...
  3. Create an event brand. ...
  4. Choose an appealing topic. ...
  5. Put together a team. ...
  6. Land a great speaker. ...
  7. Choose date and time wisely. ...
  8. Choose a virtual event platform.

How does a virtual conference work? ›

A virtualconference is an event that is conducted online and where partakers with similar concerns attend remotely, usually from the convenience of their homes, cars, or peak of a mountain – all they require is a good internet connection and a device!

What do you say in a virtual meeting? ›

Welcoming phrases
  • Welcome, everyone. Today's meeting is about…
  • Welcome to today's meeting. These are the issues that we want to talk about.
  • Welcome, everyone. This is our agenda.
  • Welcome, everyone. The purpose of today's meeting is…
  • Welcome, everyone. ...
  • Welcome, everyone.
Dec 22, 2022

How long is a symposium presentation? ›

A symposium is a set of three to five individual presentations that are arranged around a common theme/topic. Symposia are schedule for 60 or 90 minute blocks depending upon the number of presentations. Therefore, each presentation is typically 15 to 20 minutes in length.

What should you not do in a virtual meeting? ›

21 Virtual Meeting Etiquette Tips
  1. Ask for a Meeting Agenda. ...
  2. Be Prepared. ...
  3. Join the Meeting Early. ...
  4. Dress Appropriately. ...
  5. Give the Meeting Your Full Attention. ...
  6. Don't Speak over Others. ...
  7. Speak Slowly. ...
  8. Don't Leave the Room During Your Meeting.
Jun 29, 2022

How long is too long for a virtual event? ›

How Long is Too Long for a Virtual Event? Most experts agree that the recommended duration of a virtual event is 3 to 5 hours. If you want to distribute your event across multiple days, you can schedule 3 – 5-hour sessions each day. This ensures consistent levels of audience engagement each day.

What are five things necessary to make a virtual meeting successful? ›

While the basic etiquette still applies, you'll need to adopt new strategies to plan and host a successful virtual meeting:
  • Choose the Right Technology. ...
  • Work on Specific Skills. ...
  • Spend Time Preparing. ...
  • Set Ground Rules. ...
  • Communicate With Virtual Reality in Mind. ...
  • Get Everyone Involved.

How do you make a virtual event engaging? ›

6 ways to make more engaging and interactive virtual events
  1. Create quizzes and questionnaires. ...
  2. Encourage voting during virtual events. ...
  3. Create a fun learning experience. ...
  4. Create memories with interactive virtual events platform. ...
  5. Communication.

What makes a virtual team successful? ›

There are several characteristics of successful virtual teams, including inclusivity, constant communication and responsiveness, trust, flexibility, and resilience. The best remote teams function like a community, enthusiastically welcoming new members and offering support to current team members.

What are four best practices for virtual meetings? ›

16 Virtual Meetings Best Practices
  • Establish the Meeting's Purpose and Agenda. ...
  • Choose the Right Technology and Test it. ...
  • Avoid Scheduling Hiccups. ...
  • Consider Privacy. ...
  • Check Your Camera. ...
  • Consider Your Background. ...
  • Minimize Distracting Noises. ...
  • Assign Roles.
Jan 20, 2022

How do I join a virtual meeting? ›

Manually joining a webinar

Click or tap Join a Meeting. Enter the webinar ID, and click Join or tap Join Meeting. If prompted, enter your name and email address, then click Join Webinar or tap Join.

How long is a virtual meeting before a break? ›

Leave a 10-15-minute break in between meetings. Taking a break in between meetings is important for stress management and focus. If you receive an invitation for a back- to-back meeting, give yourself enough time in between to get up and stretch.

What does a virtual meeting look like? ›

A virtual meeting is a business meeting that's held virtually, where the meeting participants aren't in the same physical room, but are instead meeting together at the same time from different locations through the use of technology.

How do you say hello in a virtual meeting? ›

“I'm [your name]. I'll keep this meeting brief as I know you're all busy people”
You can start with a simple greeting, using phrases such as:
  1. “Good morning / afternoon”
  2. “Let's begin”
  3. “I'd like to welcome everyone”
  4. “Since everyone is here, let's get started”
  5. “I'd like to thank everyone for coming today”
Feb 17, 2018

How do you give a virtual talk? ›

12 Practical Tips for your Next Virtual Presentation
  1. Research your Audience Well in Advance. ...
  2. Be Vigilant with Technical Checks. ...
  3. Embrace the Use of Technology and Visual Aid Tools. ...
  4. Start with an Agenda in Mind. ...
  5. Reduce and Eliminate Distractions. ...
  6. Stick to Short, Punchy Sentences. ...
  7. Interact with your Audience.
Jan 27, 2022

Can you speak at a symposium? ›

A symposium will also feature speakers who discuss a variety of topics related to the symposium's focus. However, unlike a conference that usually only lasts for a day, a symposium will stretch out over a few days. This allows for more presenters to speak about various topics, so you have more options to choose from.

What do I need to prepare for a symposium? ›

The Insider's View to Organizing a Local Symposium
  1. Decide on the symposium topic. ...
  2. Pick a symposium name. ...
  3. Consider your budget. ...
  4. Obtain additional sponsors. ...
  5. Decide on major speakers. ...
  6. Give students, postdocs, and junior faculty a chance to shine. ...
  7. Decide on a schedule and draft a program. ...
  8. Use local connections.
Mar 20, 2015

What should I bring to a symposium? ›

Pack the following items for your next business conference or seminar to ensure you are prepared, comfortable and productive.
  • Reusable water bottle. ...
  • Business cards. ...
  • Leisure clothes. ...
  • Charger/extended batteries. ...
  • Notebook and pen. ...
  • A watch. ...
  • Comfortable shoes. ...
  • Sweater.

Should cameras be on during virtual meetings? ›

Marcus agreed, saying that in most meetings, it's helpful for employees to have their cameras on so they can connect with each other as well as make a memorable impression. "If others have their cameras on and you don't, you become 'invisible' and often won't be remembered as having been in the meeting," she said.

How long should a virtual meeting last? ›

A: Virtual meetings should last for no more than an hour. Break your meeting into 15-minute segments and take breaks to keep attendees energized. Be prepared to use your judgement. If you sense engagement has plummeted, it might be more productive in the long run to end your meeting early.

What should you not say in a meeting? ›

6 Things You Should Never Say in a Meeting Even If You're In a Salty Mood
  • "You're wrong..."
  • "Let's table this..."
  • "I understand what you're saying but..."
  • "Everyone here disagrees with you..."
  • "You're foolish..."
  • "The boss doesn't like the idea..."
Jun 28, 2018

What is the best day for a virtual event? ›

Our data shows that Mondays and Fridays are typically the best days to host an online event. So if we're talking typical B2B, it does looks like people are more likely to attend an online event and pay attention when it's the start or end of their working week.

What are the risks of virtual events? ›

5 Challenges for Virtual Events
  • Lack of proper content strategy. The lack of proper content strategy is one of the biggest challenges for virtual events. ...
  • Lack of technical expertise and support. ...
  • Lack of engagement. ...
  • Lack of understanding the return on investment. ...
  • Lack of security awareness.

Are people tired of virtual events? ›

However, many people are dealing with virtual event fatigue. People are in back-to-back video calls without getting a real break from their screen. They are getting tired and it's harder to motivate your audience.

What are 3 important strategies of virtual teams? ›

Three strategies to build an effective virtual team
  • Recognize your point person.
  • Let them see you.
  • Make time for personal connections.
Nov 9, 2019

What makes a great virtual meeting? ›

Prepare in advance to have a clear purpose and lead for the meeting. Send a detailed meeting agenda or any pre-reading well in advance so everyone knows exactly why they are there and how they can contribute. Keep the meeting on track, focus the group on the task at hand and avoid going off on tangents.

How can I make my symposium more interesting? ›

10 Ways To Make Your Conferences Interesting
  1. Ice Breaker Sessions. Most attendees feel awkward when they are in a room full of strangers. ...
  2. Make it Interactive. ...
  3. Emcee To The Rescue. ...
  4. Storytelling To Grab Attention. ...
  5. Breakout Sessions. ...
  6. Video Montages. ...
  7. World Cafe Discussions. ...
  8. Props Over PowerPoint.

How do you lead fun virtual meetings? ›

Here is a list of ways to make Zoom meetings more fun.
  1. Keep meetings short. ...
  2. Strike a balance between talking and listening. ...
  3. Add participatory elements. ...
  4. Use visual aids. ...
  5. Leave time to socialize. ...
  6. Virtual icebreakers. ...
  7. Online team building games. ...
  8. Remote team building challenges.
Oct 23, 2022

How do you make your team engaged during a virtual meeting? ›

Six Practical Ways To Engage Employees In Virtual Meetings
  1. Always Be Fully Prepared. ...
  2. Try To Make Them Feel Valued. ...
  3. Gamify Your Teamwork. ...
  4. Care About Their Health And Celebrate Their Small Achievements. ...
  5. Permeate Your Efforts Fully. ...
  6. Collaboration To Keep Everyone Involved. ...
  7. Conclusion.

What are the 3 most important things needed for effective teamwork? ›

What Are the 3 Most Important Things Needed for Effective Teamwork in the Workplace?
  • Mutual trust and respect,
  • Effective delegation while communicating clearly,
  • The liberty to share ideas and embrace innovations.
May 24, 2021

What are the benefits of virtual work? ›

What are the benefits of remote working for employees?
  • Freedom and Flexibility.
  • Cost saving.
  • Save time.
  • Location.
  • Peace and quiet.
  • Health and happiness.
  • You're not alone.
  • Work/life balance.

How do you keep your virtual team motivated? ›

List of unique ways to motivate employees
  1. Employee Engagement Software. Employee engagement software is one of the simplest ways to motivate remote employees. ...
  2. Travel incentive programs. ...
  3. Virtual parties. ...
  4. Online team building events. ...
  5. Workplace competitions. ...
  6. Group Pomodoro Sessions. ...
  7. Online Employee of the Month. ...
  8. Staff Spotlight.
Sep 27, 2022

What should you do during a virtual meeting? ›

  • Be on Time. How many times have you been in a meeting where you are waiting on someone pertinent to the discussion? ...
  • Wear Your Pants. ...
  • Mute Yourself. ...
  • You Don't Always Need to be on Camera. ...
  • Fix Your Background. ...
  • Don't Multitask. ...
  • Don't Eat. ...
  • Don't Interrupt.
Feb 10, 2022

How do you manage a virtual team successfully? ›

3 Tips for Managing Virtual Teams
  1. Use technology to communicate in real-time and to train and develop your people. The more often team members meet “face-to-face” through real-time technologies, the higher their levels of success. ...
  2. Overcome time zone differences. ...
  3. Consider team members' other commitments.

Can I use my phone for virtual meeting? ›

You can join a Zoom meeting or webinar, which allows you to dial in to a virtual meeting without a computer. This is useful when: you do not have a microphone or speaker on your computer.

Is a virtual meeting the same as Zoom? ›

Virtual meetings: This is where people from any given location use video, text, and audio to interact at the same time. These are hosted on platforms such as Skype, Zoom, and Google Hangouts. Put simply, a virtual meeting is a meeting done online without a physical location.

How early should you join a virtual meeting? ›

Be Punctual

For an in-person interview, it's courteous to show up approximately 10 minutes early. This tip also applies to video interviews, but the benefits go beyond just showing that you're a punctual person. Arriving early for your online interview gives you a few extra minutes to log in in case you have issues.

What is the 20 minute meeting rule? ›

The 20-minute rule is very simple. Next time you dread doing something, set a timer for 20 minutes, and start working on whatever it is you've been putting off. It doesn't matter if you're slow at first, the important thing is that you work on your task for just 20 minutes.

How many minutes before Should I join a zoom meeting? ›

Be on time. If possible, join the meeting 5 minutes early using your desired method. Tip: Connect video. This gives the meeting a more personal feel.

Why are virtual meetings so awkward? ›

QUICK TAKE. Remote work is challenging because the nuances of nonverbal communication that are present in face-to-face conversations are not conveyed through virtual meetings.

How do you introduce yourself in a virtual meeting? ›

Tips to introducing yourself in a meeting
  1. Share your background.
  2. Practice your introduction.
  3. Consider your body language.
  4. Dress appropriately.
  5. Keep it short and sweet.
  6. Show that you care.
  7. Share your reason for attending the meeting.
  8. Let your personality shine.
Mar 18, 2022

How do I look better in a virtual meeting? ›

Be mindful of the camera perspective during your virtual meeting. Be aware that webcams have wide-angle lenses, which will make you appear distorted if your face is too close. An arm's length between you and the screen is a good rule of thumb. Also position the camera at eye level or just above.

Does virtual mean face to face? ›

Now, meetings can be characterized as face-to-face (with everyone colocated), virtual (with most all participants joining from separate locations), or hybrid (some participants colocated, others joining from different locations).

How do you hold a symposium? ›

The Insider's View to Organizing a Local Symposium
  1. Decide on the symposium topic. ...
  2. Pick a symposium name. ...
  3. Consider your budget. ...
  4. Obtain additional sponsors. ...
  5. Decide on major speakers. ...
  6. Give students, postdocs, and junior faculty a chance to shine. ...
  7. Decide on a schedule and draft a program. ...
  8. Use local connections.
Mar 20, 2015

How do you make a symposium interactive? ›

So let's wrap it up.
  1. Hire a professional moderator.
  2. Leave space for Q&A.
  3. Leverage technology to crowd-source questions.
  4. Prepare your speakers.
  5. Offer interactive alternatives.
  6. Re-energize audience with edutainment.
Jun 16, 2015

How do you conduct a virtual seminar? ›

10 tips for hosting virtual events
  1. Set clear goals from the start. ...
  2. Choose the right platform to host your virtual event. ...
  3. Choose the right time for your event. ...
  4. Promote your virtual event. ...
  5. Develop a clear agenda that includes speakers and timeframes. ...
  6. Include moderators at your event. ...
  7. Engage your audience. ...
  8. Prepare to troubleshoot.
Jun 3, 2021

How do you conduct a virtual presentation? ›

12 Practical Tips for your Next Virtual Presentation
  1. Research your Audience Well in Advance. ...
  2. Be Vigilant with Technical Checks. ...
  3. Embrace the Use of Technology and Visual Aid Tools. ...
  4. Start with an Agenda in Mind. ...
  5. Reduce and Eliminate Distractions. ...
  6. Stick to Short, Punchy Sentences. ...
  7. Interact with your Audience.
Jan 27, 2022

What do you present at a symposium? ›

A symposium is generally defined as a meeting organized so that experts in a given field can meet, present papers, and discuss issues and trends or make recommendations for a certain course of action.

What is an example of a symposium? ›

A symposium is a public meeting about a topic in which people give presentations. If your knitting club holds a symposium, various knitters will give presentations about anything having to do with knitting.

What is the purpose of a symposium? ›

The purpose of a symposium is to typically allow experts in a given field to meet, discuss papers/topics in question, and examine the issues and trends associated with the topic. The findings from a symposium can be used to help others within the field of research and can endure testing if applicable.

How do I make my virtual events more engaging? ›

6 ways to make more engaging and interactive virtual events
  1. Create quizzes and questionnaires. ...
  2. Encourage voting during virtual events. ...
  3. Create a fun learning experience. ...
  4. Create memories with interactive virtual events platform. ...
  5. Communication.

How do you start a symposium? ›

7 tips for Symposium 2022 submissions
  1. Tip 1: Choose an engaging topic. ...
  2. Tip 3: Create a title with punch. ...
  3. Tip 4: Focus on the impact. ...
  4. Tip 5: Tell your unique story. ...
  5. Tip 6: Clearly define your learnings. ...
  6. Tip 7: Make a combined submission. ...
  7. Bonus tip: Think quality over quantity.

What are three things you should do to prepare and facilitate a virtual meeting? ›

Here are five tips for facilitating virtual meetings so that they are successful.
  1. 1). Consider the Platform. ...
  2. 2). Send Out a Detailed Agenda Before the Meeting. ...
  3. 3). Set Ground Rules. ...
  4. 4). Involve Relevant Members and Give Everyone Time to Talk. ...
  5. 5). Evaluate Meetings at the End and Make Necessary Improvements.
Jun 24, 2020


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