Symposia: Wednesday, 8 December

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Madrid time	Wednesday, 8 December
09:00 am ‑ 10:30 am	Beamforming 1 Localization MIMO NOMA Reinforcement Learning URLLC CE I: AI-based channel estimation I CISS1: AI aided Security 1 CISS9: Communications Security CSSMA5: Communication and Network Security CT1: Communication Theory EH-S1: eHealth - Session 1 GCSN2: Green Communication Systems IoTSN 1: Technical Papers IRS: ML/AI for intelligent reflecting surface MWN1: Resource Management in 5G networks MWN15: Blockchain and Age factor in Wireless Networks MWN2: Edge Computing and Fog Computing NGNI-3: Edge/Fog Computing SPC1: Signal Processing for OFDM SPC4: Localization and Identification SPC6: Signal Processing for Intelligent Surface Systems-I
10:30 am ‑ 11:00 am
11:00 am ‑ 12:30 pm	5G and Beyond Radio Access Network Channel estimation Cloud and Edge Computing I Deep Learning II Social Network Applications UAVs and QoS CISS2: AI aided Security 2 Cod: Machine learning for source-channel coding CSSMA1: Communications and Mobility CT2: Communication Theory for Time-Sensitive Applications EH-S2: eHealth - Session 2 GCSN4: Green RIS and Computing Systems GlobecomAerialCom-S1: Globecom 2021 Aerial Communications Session 1 IoTSN 2: Technical Papers MWN3: Beamforming and MIMO Communications MWN4: Federated Learning in Wireless Networks (I) NGNI-8: Network Functions Virtualization (NFV) - 1 SAC SSC1: Radio Resource Management in Satellite Networks SAC-BD-S1: Big Data Processing SPC3: Signal Processing for MIMO and MISO TM I: Traffic management I
12:30 ‑ 2:00 pm
2:00 pm ‑ 3:30 pm	Channel modelling Cloud Computing and Data Centers Intelligent Spectrum Sharing Machine Learning for Communications Multimedia and Video Streaming Reconfiguration and Open Platforms CE II: AI-based channel estimation II CISS7: Physical Layer Security 2 CSSMA2: Networking and Learning CT3: Channel Model and Analysis EH-S3: eHealth - Session 3 GCSN1: Green Communication Networks-1 GlobecomAerialCom-S2: Globecom 2021 Aerial Communications Session 2 IoTSN 3: Technical Papers MWN18: Inter-networking and Software Defined Wireless Networks MWN5: Intelligent Reflecting Surfaces NGNI-10: Network management and control - 1 SAC SSC2: Next-Generation Satellite Networks SAC-BD-S2: Big Data Applications (1) SPC2: Signal Processing for Emerging Systems TM II: Traffic management II
3:30 pm ‑ 5:30 pm

Wednesday, December 8

Wednesday, December 8 9:00 - 10:30

Beamforming 1

Optimal Discrete Beamforming for Intelligent Reflecting Surface: Yaowen Zhang, Shuyi Ren and Kaiming Shen (The Chinese University of Hong Kong (Shenzhen), China); Zhiquan Luo (The Chinese University of Hong Kong, Shenzhen, China)
Joint Beamforming Designs for Intelligent Omni Surface Assisted Wireless Communication Systems: Wenhao Cai, Rang Liu, Yang Liu, Ming Li and Qian Liu (Dalian University of Technology, China)
Machine Learning Assisted Phase-less Millimeter-Wave Beam Alignment in Multipath Channels: Benjamin W Domae and Ruifu Li (University of California, Los Angeles, USA); Danijela Cabric (University of California Los Angeles, USA)
A Learning Based Branch-and-Bound Algorithm for Single-Group Multicast Beamforming: Zhe Zhang and Meixia Tao (Shanghai Jiao Tong University, China)
Reward-Maximization-Based Passive Beamforming for Multi-RIS-Aided Multi-User MISO Systems: Huan Huang, Xiaowen Wang, Chongfu Zhang and Kun Qiu (University of Electronic Science and Technology of China, China); Zhu Han (University of Houston, USA)

Localization

A Robust Single-Anchor Localization Method With Multipath Assistance in NLOS Environments: Tianyu Wang, Junchen Liu and Yuan Shen (Tsinghua University, China)
MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI: Katarina Vuckovic, Farzam Hejazi and Nazanin Rahnavard (University of Central Florida, USA)
Inseparable Waveform Synthesis in Joint Communications and Radar via Spatial-Frequency Spectrum: Husheng Li (University of Tennessee, USA)
High Precision Indoor Localization with Dummy Antennas - An Experimental Study: Kaixuan Huang, Chenlu Xiang, Shunqing Zhang and Shugong Xu (Shanghai University, China); Xianfeng Ma, Qinglong Xian and Hua Yang (Guangzhou Guangzhong Enterprise Group Corporation, China)
A Fine-Grained Analysis of Radar Detection in Vehicular Networks: Gourab Ghatak (IIIT Delhi, India); Sanket Sanjay Kalamkar (Qualcomm Inc., USA); Yash Gupta (IIITD, India); Shubhi Sharma (IIIT Delhi, India)

MIMO

Rotatable URAs for Line-of-Sight MIMO Transmission: Heedong Do and Namyoon Lee (POSTECH, Korea (South)); Angel Lozano (Universitat Pompeu Fabra (UPF), Spain)
A Distributed MIMO Relay Scheme Inspired by Backpropagation Algorithm: Rui Wang and Yi Jiang (Fudan University, China); Wei Zhang (The University of New South Wales, Australia)
Energy-Efficient Cooperative Backscattering Closed-Form Solution for NOMA: Hajar El Hassani (ETIS UMR 8051, CY Cergy Paris Universite, ENSEA, CNRS, France); Anne Savard (IMT Lille Douai - IRCICA, France); E. Veronica Belmega (ETIS / ENSEA - UCP - CNRS, France); Rodrigo C. de Lamare (Pontifical Catholic University of Rio de Janeiro, Brazil & University of York, United Kingdom (Great Britain))
Delay-Aware Power Control for Downlink Multi-User MIMO via Constrained Deep Reinforcement Learning: Chang Tian (Peking University, China); Guan Huang and An Liu (Zhejiang University, China); Wu Luo (Peking University, China)

NOMA

Resource Allocation in BER-Constrained Multicarrier NOMA Based on Optimal Channel Gain Ratios: Estela Carmona (i2CAT Foundation, Spain); Huiling Zhu and Jiangzhou Wang (University of Kent, United Kingdom (Great Britain))
Near-Optimal User Clustering and Power Control for Uplink MISO-NOMA Networks: Junxia Zhang (Beijing Jiaotong University, China); Ming Liu (Beijing Jiaotong University & Beijing Key Lab of Transportation Data Analysis and Mining, China); Ke Xiong (Beijing Jiaotong University, China); Mingshan Zhang (Intel Research Center, China)
Interference Cooperation based Resource Allocation in NOMA Terrestrial-Satellite Networks: Yaomin Zhang (USTB, China); Haijun Zhang (University of Science and Technology Beijing, China); Huan Zhou (China Three Gorges University, China); Wei Li (University of Science and Technology Beijing, China)
Enhancing Security of NOMA Networks via Distributed Intelligent Reflecting Surfaces: Zheng Zhang and Jian Chen (Xidian University, China); Qingqing Wu (University of Macau, China); Yuanwei Liu (Queen Mary University of London, United Kingdom (Great Britain)); Lu Lv and Xunqi Su (Xidian University, China)
Secrecy Outage Probability Analysis for Downlink Untrusted NOMA Under Practical SIC Error: Sapna Thapar (Indian Institute of Technology Jammu, India); Deepak Mishra (University of New South Wales (UNSW) Sydney, Australia); Derrick Wing Kwan Ng (University of New South Wales, Australia); Ravikant Saini (Indian Institute of Technology Jammu, India)

Reinforcement Learning

Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach: Yang Xiao, Jiawei Wu and Jun Liu, Dr. (Beijing University of Posts and Telecommunications, China)
Learning-based Strategy for RIS-Assisted Terahertz Virtual Reality Networks: Xiaonan Liu and Yansha Deng (King's College London, United Kingdom (Great Britain)); Chong Han (Shanghai Jiao Tong University, China); Marco Di Renzo (CentraleSupelec-University, France)
Multi-Objective Network Congestion Control via Constrained Reinforcement Learning: Qiong Liu and Peng Yang (Huazhong University of Science and Technology, China); Feng Lyu (Central South University, China); Ning Zhang (University of Windsor, Canada); Li Yu (Huazhong University of Science & Technology, China)
Reliable Reinforcement Learning Based NOMA Schemes for URLLC: Waleed Ahsan (Queen Marry University of LONDON, United Kingdom (Great Britain)); Wenqiang Yi and Yuanwei Liu (Queen Mary University of London, United Kingdom (Great Britain)); A Nallanathan (QMUL, United Kingdom (Great Britain))
Dynamic Channel Access via Meta-Reinforcement Learning: Ziyang Lu and M. Cenk Gursoy (Syracuse University, USA)

URLLC

Pilot Overhead vs. Pilot Power: Short Packet Structure Optimization for URLLC over Continuous Fading: Xiayue Liu (Harbin Institute of Technology, Shenzhen, China); Xu Zhu (Harbin Institute of Technology, Shenzhen, China & University of Liverpool, United Kingdom (Great Britain)); Yufei Jiang and Jie Cao (Harbin Institute of Technology, Shenzhen, China)
Ultra-Reliable and Low Latency Wireless Communications with Burst Traffics: A Large Deviation Method: Lintao Li and Wei Chen (Tsinghua University, China); Khaled B. Letaief (The Hong Kong University of Science and Technology, Hong Kong)
Achieving Extremely Low Latency: Joint Finite-Blocklength Coding over Multiple Users in Downlinks: Xiaoyu Zhao (The Chinese University of Hong Kong, China); Wei Chen (Tsinghua University, China); H. Vincent Poor (Princeton University, USA)
Constrained Deep Reinforcement Learning for Low-Latency Wireless VR Video Streaming: Shaoang Li and Changyang She (The University of Sydney, Australia); Yonghui Li and Branka Vucetic (University of Sydney, Australia)
Soft-ACK Feedback Based Link Adaptation for Latency Critical Applications in 5G/B5G: Jozsef G Nemeth ( & Mediatek, United Kingdom (Great Britain)); Mohammed Al-Imari (MediaTek, United Kingdom (Great Britain)); Waseem Ozan (MediaTek Wireless, United Kingdom (Great Britain))

CE I: AI-based channel estimation I

An Attention-Aided Deep Neural Network Design for Channel Estimation in Massive MIMO Systems: Jiabao Gao, Mu Hu, Caijun Zhong and Zhaoyang Zhang (Zhejiang University, China); Geoffrey Ye Li (Imperial College London, United Kingdom (Great Britain))
Online DNN-based Channel Estimator for Massive MIMO Systems with Nonlinear Distortion: Xuanyu Zheng and Vincent Lau (Hong Kong University of Science and Technology, Hong Kong)
MTCNet: Multi-Task Complex Network for Concurrent Channel Estimation and Equalization: DongHa Bahn, Jae-Il Jung, Jun-Ik Jang, Changbae Yoon, Chanjong Park and Intaik Park (Samsung Electronics, Korea (South))
Domain Knowledge Aided Neural Network for Wireless Channel Estimation: Shuvam Chakraborty and Dola Saha (University at Albany, SUNY, USA)
Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation: Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, Shenghui Song and Khaled B. Letaief (The Hong Kong University of Science and Technology, Hong Kong)

CISS1: AI aided Security 1

Dual-Masking Framework against Two-Sided Model Attacks in Federated Learning: Te-Chuan Chiu (Academia Sinica, Taiwan); Wei-Che Lin, Ai-Chun Pang and Li-Chen Cheng (National Taiwan University, Taiwan)
FedGR: A Lossless-Obfuscation Approach for Secure Federated Learning: Wenjing Qin, Li Yang and Jianfeng Ma (Xidian University, China)
FL-PATE: Differentially Private Federated Learning with Knowledge Transfer: Yanghe Pan (Xi'an Jiaotong University, China); Jianbing Ni (Queen's University, Canada); Zhou Su (Shanghai University, China)
Augmented Dual-Shuffle-based Moving Target Defense to Ensure CIA-triad in Federated Learning: Zan Zhou, Changqiao Xu, Mingze Wang and Tengchao Ma (Beijing University of Posts and Telecommunications, China); Shui Yu (University of Technology Sydney, Australia)
BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme: Naiyu Wang, Wenti Yang and Zhitao Guan (North China Electric Power University, China); Xiaojiang Du (Stevens Institute of Technology, USA); Mohsen Guizani (Qatar University, Qatar)

CISS9: Communications Security

Insider-Resistant Context-Based Pairing for Multimodality Sleep Apnea Test: Yao Zheng (University of Hawai'i at Mānoa, USA); Shekh Md Mahmudul Islam (University of Hawaii at Manoa, USA); Yanjun Pan (University of Arizona, USA); Marionne Millan (University of Hawaii at Manoa, USA); Samson Aggelopoulos and Brian Lu (University of Hawaiʻi at Mānoa, USA); Alvin Yang and Thomas Yang (University of Hawaii at Manoa, USA); Stephanie Aelmore, Willy Chang and Alana Power (University of Hawaiʻi at Mānoa, USA); Ming Li (University of Arizona, USA); Olga Boric-Lubecke and Victor Lubecke (University of Hawaii at Manoa, USA); Wenhai Sun (Purdue University, USA)
Joint Power and Channel Allocation for Safeguarding Cognitive Satellite-UAV Networks: Chengleyang Lei and Wei Feng (Tsinghua University, China); Yunfei Chen (University of Warwick, United Kingdom (Great Britain)); Ning Ge (Tsinghua University, China)
Fundamental Limits of Activity-Based Covert Channels: Ke Li (University of Massachussetts Amherst, USA); Majid Ghaderi (University of Calgary, Canada); Dennis Goeckel (University of Massachusetts, USA)
Perfect Secrecy in the Bounded Storage Model: Divyanshu Bhardwaj (Indian Institute of Technology Kanpur, India); Hamid Sadjadpour (University of California, Santa Cruz, USA)
Optimization for IRS-Assisted Systems With Both Multicast and Confidential Messages: Boyu Ning, Zhi Chen, Zhongbao Tian and Shaoqian Li (University of Electronic Science and Technology of China, China)

CSSMA5: Communication and Network Security

CSSMA5-5 papers

Combined Forest: a New Supervised Approach for a Machine-Learning-based Botnets Detection: Christophe Maudoux and Selma Boumerdassi (Conservatoire National des Arts et Métiers, France); Eric Renault (LIGM, Université Gustave Eiffel, CNRS, ESIEE Paris, France)
Offset Circular Polarization Modulation Scheme: Syed Najaf Haider Shah (Technical University Ilmenau, Germany); Omar Ansari (Institute of Space Technology, Pakistan); Usama Sadiq (Information Technology University, Pakistan); Abdur Rahman Maud (Institute of Space Technology, Pakistan); Muhammad Amin (Institute of Space Technology, Islamabad, Pakistan)
Towards a Secure and Reliable Federated Learning using Blockchain: Hajar Moudoud (Universite de Sherbrooke, Canada); Soumaya Cherkaoui (Université de Sherbrooke, Canada); Lyes Khoukhi (ENSICAEN, Normandie University, France)
A Novel Machine Learning Framework for advanced Attack Detection Using SDN: Zakaria Abou El Houda (University of Technology of Troyes, France); Abdelhakim Hafid (University of Montreal, Canada); Lyes Khoukhi (ENSICAEN, Normandie University, France)
Architecture and Performance Comparison of Permissioned Blockchains Platforms for Smart Contracts: Guilherme A. Thomaz and Gustavo F Camilo (Universidade Federal do Rio de Janeiro, Brazil); Lucas Airam de Souza (UFRJ, Brazil); Otto Carlos M. B. Duarte (Universidade Federal do Rio de Janeiro, Brazil)

CT1: Communication Theory

Individual Correlation Properties and Structural Features of Periodic Complementary Sequences: Igor Gepko (Ukrainian State Centre of Radio Frequencies, Ukraine)
FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing: Caleb Terrill and Linfang Wang (University of California, Los Angeles, USA); Sean Chen (UCLA, USA); Chester Hulse (University of California Los Angeles, USA); Calvin Kuo (UCLA, USA); Richard Wesel (University of California, Los Angeles, USA); Dariush Divsalar (Jet Propulsion Laboratory, USA)
Two-Hop Network with Multiple Decision Centers under Expected-Rate Constraints: Mustapha Hamad (Télécom Paris, France); Michele A Wigger (Telecom Paris, France); Mireille Sarkiss (Telecom SudParis, France)
Nonlinear Distortion in Distributed Massive MIMO Systems: A Indoor Channel Measurement Analysis: Bin Liu (KU Leuven); Andrea P Guevara (KU Leuven, Belgium); Liesbet Van der Perre (KUL, Belgium); Sofie Pollin (KU Leuven, Belgium)

EH-S1: eHealth - Session 1

Chair: Tomoaki Ohtsuki (Keio University, Japan)

V2X-based COVID-19 Pandemic Severity Reduction in Smart Cities: Sofiane Dahmane and Mohamed Bachir Yagoubi (University of Laghouat, Algeria); Pascal Lorenz (University of Haute Alsace, France); Ezedin Barka and Abderrahmane Lakas (UAE University, United Arab Emirates); Nasreddine Lagraa (Amar Thelidji University, Laghouat & LIM Laboratory, Algeria); Chaker Abdelaziz Kerrache (University of Laghouat, Algeria)
Activity Detection using 2D LIDAR for Healthcare and Monitoring: Mondher Bouazizi (Keio University, Japan); Chen Ye (Chiba University, Japan); Tomoaki Ohtsuki (Keio University, Japan)
Non-contact Heartbeat Detection Based on Beam Diversity Using Multibeam Doppler Sensor: Tsukiko Kitagawa, Kohei Yamamoto and Tomoaki Ohtsuki (Keio University, Japan)
Learning-Based Posture Detection Using Purely Passive Magneto-Inductive Tags: Henry Schulten, Florian Wernli and Armin Wittneben (ETH Zurich, Switzerland)

GCSN2: Green Communication Systems

GCSN2-6 papers

Approaches for Improving Efficiency: Adaptive Predistortion of Dual-Level Voltage Power Amplifiers: Wei Gao (Broadcom Limited, USA & Northwest University, China); Tao Jing (Northwest University, China)
A Coverage Area-Based Cooperation Technique for SWIPT-Enabled Systems with Mobility: Yuan Guo, Christodoulos Skouroumounis and Ioannis Krikidis (University of Cyprus, Cyprus)
Unified Wireless Power and Information Transfer Using a Diplexed Rectifier: Besma Smida (University of Illinois at Chicago, USA); Payman Pahlavan (University of Florida, USA)
Performance Optimization in Heterogeneous WiFi and Cellular Mobile Edge Computing Systems: Liwen Niu and Yangjie Cao (Zhengzhou University, China); Celimuge Wu (The University of Electro-Communications, Japan); Rui Yin (Zhejiang University City Colle, China & KwaZulu-Natal University, South Africa); Xianfu Chen (VTT Technical Research Centre of Finland, Finland)
Traffic-Aware Compute Resource Tuning for Energy Efficient Cloud RANs: Ujjwal Pawar (Indian Institute of Technology, Hyderabad, India); Bheemarjuna Reddy Tamma (IIT Hyderabad, India); Antony Franklin A (Indian Institute of Technology Hyderabad, India)
Low-Cost mmWave Transmission: Wireless Beam Modulation based Phase-less Interference Cancellation: Haoyun Zhang, Shuai Li, Fan Wu, Tingyong Wu and Jienan Chen (University of Electronic Science and Technology of China, China)

IoTSN 1: Technical Papers

Blockchain-Secured Data Collection for UAV-Assisted IoT: A DDPG Approach: Xunqiang Lan, Xiao Tang, Daosen Zhai and Dawei Wang (Northwestern Polytechnical University, China); Zhu Han (University of Houston, USA)
A Privacy-Preserving Vehicular Data Sharing Framework atop Multi-Sharding Blockchain: Jingwei Wang, Junqin Huang, Linghe Kong and Guihai Chen (Shanghai Jiao Tong University, China); Dianle Zhou (National University of Defense Technology, China); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal)
Robust 3D Trajectory Optimization for Secure UAV-Ground Communications: Wenyue Wang, Shangwei Zhang and Jiajia Liu (Northwestern Polytechnical University, China)
Effective interoperability and security support for constrained IoT networks: Marion Dumay (Orange Labs, France); Dominique Barthel (Orange Labs & France Telecom, France); Laurent Toutain (Telecom Bretagne, France); Julien Lecoeuvre (Acklio, France)
Trade-offs in large blockchain-based IoT system design: Jelena Mišić and Vojislav B. Mišić (Ryerson University, Canada); Xiaolin Chang (Beijing Jiaotong University, China)

IRS: ML/AI for intelligent reflecting surface

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications: Chang Liu (University of New South Wales, Australia); Xuemeng Liu (The University of Sydney, Australia); Zhiqiang Wei (Friedrich-Alexander University Erlangen-Nuremberg, Germany); Shaokang Hu, Derrick Wing Kwan Ng and Jinhong Yuan (University of New South Wales, Australia)
Model-Driven GAN-Based Channel Modeling for IRS-Aided Wireless Communication: Yi Wei, Ming-Min Zhao and Minjian Zhao (Zhejiang University, China)
Enabling Efficient Scheduling Policy in Intelligent Reflecting Surface Aided Federated Learning: Peijue Wang, Lixin Li, Dawei Wang and Donghui Ma (Northwestern Polytechnical University, China); Zhu Han (University of Houston, USA)
Federated Distributionally Robust Optimization for Phase Configuration of RISs: Chaouki Ben Issaid and Sumudu Samarakoon (University of Oulu, Finland); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); H. Vincent Poor (Princeton University, USA)
Capacity Region of Intelligent Reflecting Surface Aided Wireless Networks via Active Learning: Yandong Shi (ShanghaiTech University, China); Min Fu (ShanghaiTech University & Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China); Yong Zhou and Yuanming Shi (ShanghaiTech University, China)

MWN1: Resource Management in 5G networks

MWN1-5 papers

Virtual User Emulation and Resource Allocation Designs for 5G Mobile Wireless Networks: Pei-Ying Wu, Li-Hsiang Shen and Kai-Ten Feng (National Yang Ming Chiao Tung University, Taiwan)
Resource allocation for Public Safety Users in the 5G Cellular Network: Sarkis Moussa (University of Avignon & Antonine University, France); Abderrahim Benslimane (University of Avignon & LIA/CERI, France); Rony Darazi (Antonine University, Lebanon); Chunxiao Jiang (Tsinghua University, Beijing, China)
Dynamic Resource Allocation for SDN-based Virtual Fog-RAN 5G-and-Beyond Networks: Payam Rahimi (Frederick University Cyprus, Cyprus); Chrysostomos Chrysostomou (Frederick University, Cyprus); Haris Bin Pervaiz (Lancaster University, United Kingdom (Great Britain)); Vasos Vassiliou (University of Cyprus & CYENS Center of Excellence, Cyprus); Qiang Ni (Lancaster University, United Kingdom (Great Britain))
Decentralized Cooperative Resource Allocation with Reliability at Four Nines: Carlos Santiago Morejón García, Rasmus Liborius Bruun and Troels B. Sørensen (Aalborg University, Denmark); Nuno K Pratas (Nokia, Denmark); Tatiana Madsen (Aalborg University, Denmark); Ji Lianghai (Nokia-Bell-Labs, Denmark); Preben Mogensen (Aalborg University, Denmark)
A framework for joint admission control, resource allocation and pricing for network slicing in 5G: Walid Ben-Ameur, Lorela Cano and Tijani Chahed (Telecom SudParis, France)

MWN15: Blockchain and Age factor in Wireless Networks

Joint Link Rate Selection and Channel State Change Detection in Block-Fading Channels: Haoyue Tang, Xinyu Hou and Jintao Wang (Tsinghua University, China); Jian Song (Tsinghua University & Beijing National Research Center for Information Science and Technology & Key Lab of DTV System of Guangdong & Shenzhen, Research Institute of Tsinghua University in Shenzhen, China)
On the Performance of Blockchain-enabled RAN-as-a-service in Beyond 5G Networks: Francesc Wilhelmi (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) & Universitat Pompeu Fabra, Spain); Lorenza Giupponi (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain)
Age-Critical Frameless ALOHA Protocol for Grant-Free Massive Access: Yuhao Huang (Harbin Institute of Technology (Shenzhen), 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)
Transmission policy design for critical services subject to reliability versus age minimization: Ayat Zaki Hindi (Aalborg University, Denmark); Salah Eddine Elayoubi (CentraleSupélec, France); Tijani Chahed (Telecom SudParis, France)
Estimation Performance of Cyber-Physical Systems Attacked by False Data Injection: Yanan Du, Ning Li and Yonggang Zhang (Harbin Engineering University, China)

MWN2: Edge Computing and Fog Computing

MWN2-5 papers

A Shapley Value-Based Incentive Mechanism in Collaborative Edge Computing: Xingqiu He, Xiong Wang, Sheng Wang, Shizhong Xu and Jing Ren (University of Electronic Science and Technology of China, China); Ci He (Science and Technology on Communication Networks Laboratory, China); Yasheng Zhang (CETC, China)
Task Offloading in UAV Swarm-Based Edge Computing: Grouping and Role Division: Weifeng Huang (Xidian University, China); Hongzhi Guo and Jiajia Liu (Northwestern Polytechnical University, China)
Cooperative Task Allocation in Edge Computing Assisted Vehicular Crowdsensing: Yili Jiang and Kuan Zhang (University of Nebraska-Lincoln, USA); Yi Qian (University of Nebraska - Lincoln, USA); Rose Qingyang Hu (Utah State University, USA)
Online Auction Based Resource Allocation for Soft-Deadline Tasks in Edge Computing: Min Guo, Weiwei Xing and Di Zhang (Beijing Jiaotong University, China); Wentao Zhao (Shanghai Jiao Tong University, China); Shuzhong Yang (China Academy of Railway Sciences, China)
Cybertwin Assisted Wireless Asynchronous Federated Learning Mechanism for Edge Computing: Yunting Xu and Haibo Zhou (Nanjing University, China); Jiacheng Chen (Peng Cheng Laboratory, China); Ting Ma (Nanjing University, China); Sherman Shen (University of Waterloo, Canada)

NGNI-3: Edge/Fog Computing

5 papers

Routing and Packet Scheduling For Virtualized Disaggregate Functions in 5G O-RAN Fronthaul: Cheng Cheng Zhang (École de Technologie Supérieure, Canada); Kim Khoa Nguyen (University of Quebec, Canada); Mohamed Cheriet (Ecole de technologie superieure (University of Quebec), Canada)
Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach: Yunwei Tao and Yanxiang Jiang (Southeast University, China); Fu-Chun Zheng (Harbin Institute of Technology, Shenzhen, China & University of York, United Kingdom (Great Britain)); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); Xiaohu You (National Mobile communication Research Lab., Southeast University, China)
Auction Pricing-Based Task Offloading Strategy for Cooperative Edge Computing: Ruyan Wang, Chunyan Zang, Peng He and Yaping Cui (Chongqing University of Posts and Telecommunications, China); Dapeng Wu (CQUPT, China)
AFC: A Mechanism for Distributed Data Processing in Edge/Fog Computing: Hiroki Watanabe (Keio University, Japan); Tomonori Sato (Graduate School of Science and Technology, Keio University, Japan); Takao Kondo and Fumio Teraoka (Keio University, Japan)
A Trust-aware Fog Offloading Game with Long-term Trustworthiness of Users: Lei Yan (Zhengzhou University, China); Kan Yang (University of Memphis, USA); Shouyi Yang and Zhuo Han (Zhengzhou University, China)

SPC1: Signal Processing for OFDM

SPC1-5 papers

An Efficient Deep Neural Network Structure for RF Power Amplifier Linearization: Abdelwahab Fawzy (National University of Singapore, Singapore); Sumei Sun (Institute for Infocomm Research, Singapore); Teng Joon Lim (University of Sydney, Australia); Yong-xin Guo (National University of Singapore, Singapore)
Noise Variance Estimation in 5G NR Receivers: Bias Analysis and Compensation: Federico Penna (Samsung US R&D Center, USA); Hyukjoon Kwon (Samsung Semiconductor, Inc., USA); Dongwoon Bai (Samsung US R&D Center, USA)
Wideband Millimeter-Wave Massive MIMO Channel Training via Compressed Sensing: Tzu-Hsuan Chou (Purdue University, USA); Nicolò Michelusi (Arizona State University, USA); David Love and James Krogmeier (Purdue University, USA)
On Preamble-based FBMC/OQAM Highly Frequency Selective Channel Estimation Without Guard Symbols: Eleftherios Kofidis (University of Piraeus & Computer Technology Institute (CTI), Greece)

SPC4: Localization and Identification

SPC4-5 papers

Learning K-Nearest Neighbour Regression for Noisy Dataset with Application in Indoor Localization: Nima Sheikholeslami and Shahrokh Valaee (University of Toronto, Canada)
Dual Function Trade-off in Joint Communications and Radar: An Electromagnetic Field Analysis: Husheng Li (University of Tennessee, USA)
Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification: Yuxiao Li (Tsinghua University, China); Santiago Mazuelas (Basque Center for Applied Mathematics-BCAM, Spain); Yuan Shen (Tsinghua University, China)
A Multipath Estimation Method via Block Term Decomposition for Multi-carrier Systems: Mingtao Huang, Hanying Zhao and Yuan Shen (Tsinghua University, China)
Interferometry Based Integrated Sensing and Communications with Imperfect Synchronizations: Terry Guo (Tennessee Tech University, USA); Allen B. MacKenzie (Tennessee Tech, USA); Husheng Li (University of Tennessee, USA)

SPC6: Signal Processing for Intelligent Surface Systems-I

SPC6-6 papers

SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems: Sisai Fang (University of Leicester, United Kingdom (Great Britain)); Gaojie Chen (University of Surrey, United Kingdom (Great Britain)); Peng Xu (Chongqing University of Posts and Telecommunications, China); Jie Tang (South China University of Technology, China); Jonathon Chambers (University of Leicester, United Kingdom (Great Britain))
Joint Dynamic Beamforming Design and Resource Allocation for IRS-Aided FD-WPCN: Meng Hua and Qingqing Wu (University of Macau, China)
Joint Active and Passive Secure Precoding in IRS-Aided MIMO Systems: Saba Asaad (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany); Yifei Wu (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany); Ali Bereyhi (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany); Ralf R. Müller (Friedrich-Alexander Universität Erlangen-Nürnberg, Germany); Rafael F. Schaefer (University of Siegen, Germany); H. Vincent Poor (Princeton University, USA)
Simultaneously Transmitting And Reflecting (STAR) RIS Assisted NOMA Systems: Jiakuo Zuo (Nanjing University of Posts and Telecommunications, China); Yuanwei Liu (Queen Mary University of London, United Kingdom (Great Britain)); Zhiguo Ding (University of Manchester, United Kingdom (Great Britain)); Lingyang Song (Peking University, China)
Analysis and Compensation of Spatial Correlation in Data Transmission Using RIS: Xiao Chen, Hao Huang and Guan Gui (Nanjing University of Posts and Telecommunications, China); Hikmet Sari (NJUPT & Sequans, France)

Wednesday, December 8 11:00 - 12:30

5G and Beyond Radio Access Network

Fronthaul-Aware Scheduling Strategies for Next Generation RANs: Sandra Lagen (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Xavier Gelabert (Huawei Technologies Sweden AB, Sweden); Lorenza Giupponi (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Andreas Hansson (Huawei Technologies Sweden AB, Sweden)
User Pairing and Resource Allocation for Opportunistic CoMP in 5G CRAN: Tun-Yu Yu and Kate Ching-Ju Lin (National Chiao Tung University, Taiwan)
Reliability Analysis of Grant-Free Uplink Data Transmission for URLLC: Yuncong Xie and Pinyi Ren (Xi'an Jiaotong University, China)
Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing in the O-Cloud: Ibrahim Tamim (Western University, Canada); Anas Saci (UWO, Canada); Manar Jammal (York University, Canada); Abdallah Shami (Western University, Canada)
Efficient Restoration of Simultaneous Transport Services within an NFV Infrastructure: Ricardo Martinez, Luca Vettori and Jorge Baranda (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain); Josep Mangues-Bafalluy and Engin Zeydan (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain)

Channel estimation

Block-Sparse Channel Estimation in Massive MIMO Systems by Expectation Propagation: Mohammed Rashid and Mort Naraghi-Pour (Louisiana State University, USA)
Beam Alignment in mmWave User-Centric Cell-Free Massive MIMO Systems: Stefano Buzzi (University of Cassino and Lazio Meridionale/CNIT, Italy); Carmen D'Andrea (Università di Cassino e del Lazio Meridionale & Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), Italy); Maria Fresia and Xiaofeng Wu (Huawei Technol. Duesseldorf GmbH, Germany)
Joint Channel Estimation and Equalization for OTFS Based on EP: Fei Long, Kai Niu and Jiaru Lin (Beijing University of Posts and Telecommunications, China)
Compressed Sensing Channel Estimation for OTFS Modulation in Non-Integer Delay-Doppler Domain: Felipe Gómez-Cuba (University of Vigo, Spain)
Adaptive Beam Alignment in Mm-Wave Networks: A Deep Variational Autoencoder Architecture: Muddassar Hussain (Purdue University, USA); Nicolò Michelusi (Arizona State University, USA)

Cloud and Edge Computing I

Resource Allocation via Edge Cooperation in Digital Twin Assisted Internet of Vehicle: Tong Liu (Chongqing University of Posts and Telecommunications & Chongqing Vocational Institute of Engineering, China); Tang Lun (Chongqing University of Posts and Telecommunications & Key Lab of Mobile Communication Technology, China); Weili Wang and Xiaoqiang He (Chongqing University of Posts and Telecommunications, China); Qianbin Chen (Chongqing University of Posts and Telecommunication, China)
Blockchain-based Trustworthy Service Caching and Task Offloading for Intelligent Edge Computing: Yutong Zhou, Xi Li, Hong Ji and Heli Zhang (Beijing University of Posts and Telecommunications, China)
Energy-Efficient D2D-Aided Fog Computing under Probabilistic Time Constraints: Onur Karatalay, Ioannis Psaromiligkos and Benoit Champagne (McGill University, Canada)
Joint Caching and Transmission in the Mobile Edge Network: An Multi-Agent Learning Approach: Qirui Mi, Ning Yang and Haifeng Zhang (Institute of Automation, Chinese Academy of Sciences, China); Haijun Zhang (University of Science and Technology Beijing, China); Jun Wang (University College London, United Kingdom (Great Britain))

Deep Learning II

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification: Lu Zhang, Sangarapillai Lambotharan and Gan Zheng (Loughborough University, United Kingdom (Great Britain)); Fabio Roli (University of Cagliari, Italy)
DQN-based Beamforming for Uplink mmWave Cellular-Connected UAVs: Praneeth Susarla and Bikshapathi Gouda (University of Oulu, Finland); Yansha Deng (King's College London, United Kingdom (Great Britain)); Markku Juntti, Olli Silvén and Antti Tölli (University of Oulu, Finland)
A Deep Learning Framework for Distributed Channel Selection in a Congested Uncooperative Spectrum: Stephan Frisbie (University of Maryland, Baltimore County, USA); Mohamed Younis (University of Maryland Baltimore County, USA)
Augmented Convolutional Neural Networks with Transformer for Wireless Interference Identification: Pengyu Wang, Yufan Cheng and Binhong Dong (University of Electronic Science and Technology of China, China)

Social Network Applications

SWill-TAC: Skill-oriented Dynamic Task Allocation with Willingness for Complex Job in Crowdsourcing: Riya Samanta (Indian Institute of Technology, Kharagpur, India); Soumya Ghosh (Indian Institute of Technology Kharagpur, India); Sajal K. Das (Missouri University of Science and Technology, USA)
Game Theoretic Opinion Models and Their Application in Processing Disinformation: Zhen Guo (Virginia Tech, USA); Jin-Hee Cho (Virginia Polytechnic Institute and State University, USA)
Distributed Coordination by Social Learning in the Multi-Robot Systems of a Smart Factory: Zixiang Nie and Kwang-Cheng Chen (University of South Florida, USA)
A Privacy-Preserving Protocol for Proximity-Based Services in Social Networks: Francesco Buccafurri, Vincenzo De Angelis, Maria Francesca Idone and Cecilia Labrini (University Mediterranea of Reggio Calabria, Italy)
DRAGON: Detection of Related Account Groups for Online services with uncertain graphs: Bing-Jyue Chen, Wun-Cing Liou, Hsing-Yu Shih and Tsungnan Lin (National Taiwan University, Taiwan)

UAVs and QoS

Placement of Package Delivery Center for UAVs with Machine Learning: Salih Safa Bacanli and Furkan Cimen (University of Central Florida, USA); Enas Elgeldawi (Minia University, Egypt); Damla Turgut (University of Central Florida, USA)
Resource augmentation in Heterogeneous Internet of Things via UAVs: Sharief Oteafy (DePaul University, USA)
Autonomous UAV Aided Vehicular Edge Computing for Service Offering: Mohammed Laroui (Paris Descartes University, France); Hatem Ibn-khedher (ALTRAN Labs, France); Hassine Moungla (University of Paris Descartes & Instiut Mines Telecom, France); Hossam Afifi (Télécom SudParis, Institut Telecom & Paris Saclay, France)
On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction: Fernando Garcia Sanz (KTH Royal Institute of Technology & Ericsson, Sweden); Masoumeh Ebrahimi (KTH Royal Institute of Techology & University of Turku, Sweden); Andreas Johnsson (Ericsson Research, Sweden)
Transfer Time Calculation in FANET and WSN Networks in Crisis Scenario: Grace Khayat (University of Nicosia & Mobile Systems Laboratory, Cyprus); Constandinos X. Mavromoustakis (University of Nicosia & University of Nicosia Research Foundation, Cyprus); George Mastorakis (Hellenic Mediterranean University, Greece); Jordi Mongay Batalla (Warsaw University of Technology & National Institute of Telecommunications, Poland); Evangelos Pallis (Technological Educational Insitute of Crete, Greece); Evangelos K. Markakis (Hellenic Mediteranean University, Greece)

CISS2: AI aided Security 2

HFL-DP: Hierarchical Federated Learning with Differential Privacy: Lu Shi (Harbin Institute of Technology (Shenzhen), China); Jiangang Shu (Peng Cheng Laboratory, China); Weizhe Zhang (Harbin Institute of Technology, China); Yang Liu (Harbin Institute of Technology, Shenzhen & Peng Cheng Laboratory, China)
Safeguard the Original Data in Federated Learning via Data Decomposition: Jing Lin, Chenhan Zhang and Shui Yu (University of Technology Sydney, Australia)
Secure and Cooperative Target Tracking via AUV Swarm: A Reinforcement Learning Approach: Zhaoqi Yang (Tsinghua University, China); Jun Du (Tsinghua University, Beijing, China); Zhaoyue Xia (Tsinghua University, China); Chunxiao Jiang (Tsinghua University, Beijing, China); Abderrahim Benslimane (University of Avignon & LIA/CERI, France); Yong Ren (Tsinghua University, Beijing, China)
Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations: Qisheng Zhang (Virginia Tech, USA); Jin-Hee Cho (Virginia Polytechnic Institute and State University, USA); Terrence J. Moore (Army Research Laboratory, USA)
CVAE-AN: Atypical Attack Flow Detection Using Incremental Adversarial Learning: Ulya Sabeel (University of Ontario Institute of Technology, Canada & Faculty of Business and IT, Canada); Shahram Shah Heydari (University of Ontario Institute of Technology, Canada); Khalid Elgazzar (Ontario Tech University, Canada); Khalil El-Khatib (University of Ontario Institute of Technology, Canada)

Cod: Machine learning for source-channel coding

DNC-Aided SCL-Flip Decoding of Polar Codes: Yaoyu Tao (University of Michigan, Ann Arbor, USA); Zhengya Zhang (University of Michigan, USA)
Dynamic Optimal Coding and Scheduling for Distributed Learning over Wireless Edge Networks: Nguyen Van Huynh (University of Technology Sydney, Australia); Hoang Thai Dinh (University of Technology Sydney (UTS), Australia); Diep N. Nguyen and Eryk Dutkiewicz (University of Technology Sydney, Australia)
Negentropy-Aware Loss Function for Trainable Belief Propagation in Coded MIMO Detection: Daichi Shirase (Graduate School of Engineering, Osaka University, Japan); Takumi Takahashi (Osaka University, Japan); Shinsuke Ibi (Doshisha University, Japan); Kazushi Muraoka and Naoto Ishii (NEC Corporation, Japan); Seiichi Sampei (Osaka University, Japan)
Deep Joint Source-Channel Coding and Modulation for Underwater Acoustic Communication: Yoshiaki Inoue and Daisuke Hisano (Osaka University, Japan); Kazuki Maruta and Yuko Hara-Azumi (Tokyo Institute of Technology, Japan); Yu Nakayama (Tokyo University of Agriculture and Technology, Japan)
DeepIC: Coding for Interference Channels via Deep Learning: Karl Chahine (University of Texas at Austin, USA); Nanyang Ye (Shanghai Jiao Tong University, USA); Hyeji Kim (University of Texas at Austin, USA)

CSSMA1: Communications and Mobility

CSSMA1-5 papers

Three-Tier Fuzzy-based Orchestration in MEC: Hadeel Abdah (University of Aveiro, Portugal); João Paulo Barraca and Rui L Aguiar (University of Aveiro & Instituto de Telecomunicações, Portugal)
IoTRoam - Design and implementation of an open LoRaWAN roaming architecture: Sandoche Balakrichenan (AFNIC, France); Antoine Bernard (Télécom SudParis & AFNIC, France); Benoit Ampeau (AFNIC, France); Michel Marot (Institut TELECOM Telecom SudParis, France)
Radio Link Failure Prediction in 5G Networks: Karim Boutiba (EURECOM, France); Miloud Bagaa (Aalto University, Finland); Adlen Ksentini (Eurecom, France)
A Genetic Algorithm for the Placement of Latency-Sensitive Multiplayer Game Servers in the Fog: Benamer Amira Rayane (University of Tunis El Manar, France); Khaled Boussetta (Universite Sorbonne Paris Nord, France); Nejib Ben Hadj-Alouane (National Engineering School of Tunis University of Tunis El Manar, Tunisia)
Reinforcement Learning for Task Placement in Collaborative Cloud- Edge Computing: Ping Zhou and Gaoxiang Wu (Huazhong University of Science and Technology, China); Bander A Alzahrani (King Abdulaziz University, Saudi Arabia); Ahmed Barnawi (King Abdul-Aziz Uniersity, Saudi Arabia); Ahmad Alhindi (Umm Al-Qura University, Saudi Arabia); Min Chen (Huazhong University of Science and Technology, China)

CT2: Communication Theory for Time-Sensitive Applications

Age of Information Analysis of Multi-user Mobile Edge Computing Systems: Zhifeng Tang (The Australian National University); Zhuo Sun, Nan Yang and Xiangyun Zhou (The Australian National University, Australia)
A Spatio-temporal Analysis of Cellular-based IoT Networks under Heterogeneous Traffic: Praful Deolal Mankar (IIIT Hyderabad, India); Zheng Chen (Linköping University, Sweden); Mohamed A. Abd-Elmagid (Virginia Tech, USA); Nikolaos Pappas (Linköping University, Sweden); Harpreet S Dhillon (Virginia Tech, USA)
Minimizing Age of Incorrect Information for Unreliable Channel with Power Constraint: Yutao Chen and Anthony Ephremides (University of Maryland, USA)
Reliable Two-Timescale Scheduling in a Multi-User Downlink Channel with Hard Deadlines: Bernd Simon, Mete Destan and Anja Klein (TU Darmstadt, Germany)
On Joint Detection and Decoding in Short-Packet Communications: Alejandro Lancho, Johan Östman and Giuseppe Durisi (Chalmers University of Technology, Sweden)

EH-S2: eHealth - Session 2

Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning: Heba Dawoud (Qatar University, Qatar); MHD Saria Allahham (Queen's University, Canada); Alaa Awad Abdellatif (Politecnico di Torino, Italy); Amr Mohamed (Qatar University, Qatar); Aiman Erbad (Hamad Bin Khalifa University, Qatar); Mohsen Guizani (Qatar University, Qatar)
An Experience with Mental Health Professionals using Long Lasting Memories Program: Susel Góngora Alonso (University of Valladolid, Spain); José M. Toribio Guzmán (Iberian Institute of Research in Psychosciences, Intras Foundation, Spain); Beatriz Sainz de Abajo (University of Valladolid, Spain); Juan L. Muñoz Sánchez (University Rio Hortega Hospital, Spain); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal); Manuel A. Franco Martín (Psychiatry Service, Hospital of Zamora, Zamora, Spain); Isabel de la Torre (University of Valladolid, Spain)
SDN-Controller Triggered Dynamic Decision Control Mechanism for Healthcare IoT: Ruelia Saha and Nurzaman Ahmed (Indian Institute of Technology, Kharagpur, India); Sudip Misra (Indian Institute of Technology-Kharagpur, India)
Optical Fiber Fabry-Perot based Spirometer for Pulmonary Health Assessment: Concept Evaluation: Ana Nepomuceno (University of Aveiro, Portugal); Tiago Paixão (University of Aveiro & I3N, Portugal); Nelia Alberto (Instituto de Telecomunicações and University of Aveiro, Portugal); Paulo S André (Instituto de Telecomunicações, Portugal); Paulo Antunes (Aveiro University and I3N & Instituto de Telecomunicações, Portugal); Ayman Radwan (Instituto de Telecomunicações, Portugal); Maria de Fatima Domingues (Instituto de Telecomunicações & University of Aveiro, Portugal)

GCSN4: Green RIS and Computing Systems

GCSN4-5 papers

Secure Performance Analysis of RIS-aided Wireless Communication Systems: Dinh-Thuan Do (Wireless Communications Research Group, Ton Duc Thang University, Vietnam); Anh-Tu Le (Van Lang University, Vietnam); Shahid Mumtaz (Instituto de Telecomunicações, Portugal)
Reconfigurable Intelligent Surface Based Uplink Massive MIMO Symbiotic Radio System: JinLin Hu (University of Electronic Science and Technology of China, China); Yiyang Pei (Singapore Institute of Technology, Singapore); Ying-Chang Liang (University of Electronic Science and Technology of China, China); Sumei Sun (Institute for Infocomm Research, Singapore)
Reconfigurable Intelligent Surface for Small Cell Network: Jun Wang and Ying-Chang Liang (University of Electronic Science and Technology of China, China); Yiyang Pei (Singapore Institute of Technology, Singapore); Sherman Shen (University of Waterloo, Canada)
Joint Optimization for Data-Offloading/Resource-Allocation in RF-Powered Backscatter Mobile Networks: Fei Wang (Southwest University, China); Xi Zhang (Texas A&M University, USA)
Leveraging LEO assisted Cloud-Edge Collaboration for Energy Efficient Computation Offloading: Zhixuan Tang, Haibo Zhou, Ting Ma and Kai Yu (Nanjing University, China); Sherman Shen (University of Waterloo, Canada)

GlobecomAerialCom-S1: Globecom 2021 Aerial Communications Session 1

Finite-Blocklength Multi-Antenna Covert Communication Aided By A UAV Relay: Chen Xinying (Dalian University of Technology, China); Min Sheng (Xidian University, China); Nan Zhao (Dalian University of Technology, China); Wei Xu (Southeast University, China); Dusit Niyato (Nanyang Technological University, Singapore)
Joint Data Collection and Transmission in 6G Aerial Access Networks: Ziye Jia, Min Sheng, Jiandong Li and Di Zhou (Xidian University, China); Zhu Han (University of Houston, USA)
Learning to Navigate for Secure UAV Communication: Xiangyu Zhang, Shu Xu and Luxi Yang (Southeast University, China)
Credibility Computation Offloading Based Task-Driven Routing Strategy for Emergency UAVs Network: Buyun Ma, Zhiyuan Ren and Wenchi Cheng (Xidian University, China)
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks: Omid Esrafilian and Harald Bayerlein (EURECOM, France); David Gesbert (Eurecom Institute, France)

IoTSN 2: Technical Papers

Vulnerability Analysis of Road Network under Information Pollution Attacks in VANET: Jingjing Yang, Yuchun Guo, Yishuai Chen, Yongxiang Zhao and Naipeng Li (Beijing Jiaotong University, China)
Underwater Localization using Airborne Visible Light Communication Links: Jaeed Bin Saif and Mohamed Younis (University of Maryland Baltimore County, USA)
Toward The Design of An Efficient Transparent Traffic Environment Based on Vehicular Edge Computing: Peng Sun (Duke Kunshan University, China); Azzedine Boukerche (University of Ottawa, Canada)
A Blockchain-based Energy Trading Scheme for Dynamic Charging of Electric Vehicles: Abdulaziz Alshaeri (University of Maryland, Baltimore County, USA); Mohamed Younis (University of Maryland Baltimore County, USA)
Efficient In-Network Caching in NDN Based Connected Vehicles: Hasan Ali Khattak (National University of Sciences and Technology, Pakistan); Farkhanda Raja (Comsats University, Pakistan); Moayad Aloqaily (xAnalytics Inc., Ottawa, Canada); Ouns Bouachir (Zayed University, United Arab Emirates)

MWN3: Beamforming and MIMO Communications

MWN3-5 papers

Investigation of Beamforming-NOMA in mmWave Mobile Communication Networks with Spectrum Sharing: Constantinos Vrontos, Simon Armour and Angela Doufexi (University of Bristol, United Kingdom (Great Britain))
Deep Learning-based Coordinated Beamforming for Massive MIMO-Enabled Heterogeneous Networks: Yinghui Zhang, Biao Zhang and Huayu Wang (Inner Mongolia University, China); Tiankui Zhang (Beijing University of Posts and Telecommunications, China); Yi Qian (University of Nebraska - Lincoln, USA)
Antennas/PINs Selection and Joint Beamforming for High Rank LOS MmWave Communications: Xiao Zheng and Wenchi Cheng (Xidian University, China)
Joint Time Allocation and Beamforming Design for IRS-Aided Coexistent Cellular and Sensor Networks: Yanze Zhu and Yang Liu (Dalian University of Technology, China); Jun Zhao (Nanyang Technological University, Singapore); Ming Li (Dalian University of Technology, China); Qingqing Wu (University of Macau, China)
Joint Resource Block Allocation and Beamforming with Mixed-Numerology for eMBB and URLLC Use Cases: Zihuan Wang and Vincent W.S. Wong (University of British Columbia, Canada)

MWN4: Federated Learning in Wireless Networks (I)

MWN4-5 papers

Joint Client Selection and Task Assignment for Multi-Task Federated Learning in MEC Networks: Zhipeng Cheng (Xiamen University, China); Minghui Min (China University of Mining and Technology, China); Minghui Liwang (Western University, Canada); Zhibin Gao (Xiamen University Xiamen, China); Lianfen Huang (XiaMen University, China)
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices: Pavana Prakash and Jiahao Ding (University of Houston, USA); Maoqiang Wu (Guangdong University of Technology, China); Minglei Shu (Shandong Artificial Intelligence Institute, China); Rong Yu (Guangdong University of Technology, China); Miao Pan (University of Houston, USA)
A Joint Communication and Federated Learning Framework for Internet of Things Networks: Zhaohui Yang (University College London, United Kingdom (Great Britain)); Guangyu Jia (King's College London, United Kingdom (Great Britain)); Mingzhe Chen (Princeton University, USA); Hak-Keung Lam (King's College London, United Kingdom (Great Britain)); Kai Kit Wong (University College London, United Kingdom (Great Britain)); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, China); H. Vincent Poor (Princeton University, USA)
Incentive Mechanism for AI-Based Mobile Applications with Coded Federated Learning: Yuris Mulya Saputra (University of Technology Sydney, Australia & Universitas Gadjah Mada, Indonesia); Diep N. Nguyen (University of Technology Sydney, Australia); Hoang Thai Dinh (University of Technology Sydney (UTS), Australia); Eryk Dutkiewicz (University of Technology Sydney, Australia)
Enabling Large-Scale Federated Learning over Wireless Edge Networks: Thinh Quang Dinh and Diep N. Nguyen (University of Technology Sydney, Australia); Hoang Thai Dinh (University of Technology Sydney (UTS), Australia); Pham Tran Vu (Ho Chi Minh City University of Technology, Vietnam); Eryk Dutkiewicz (University of Technology Sydney, Australia)

NGNI-8: Network Functions Virtualization (NFV) - 1

5 papers

Towards Fine-Grained Resource Allocation in NFV Infrastructures: Georgios Papathanail, Angelos Pentelas and Panagiotis Papadimitriou (University of Macedonia, Greece)
Benchmarking Kubernetes Container-Networking for Telco Usecases: Sridhar K. N. (Spirent Communications, India); Federica Paganelli (University of Pisa, Italy); Alfred Morton (AT&T, USA)
Shortening the Deployment Time of SFC by Adaptively Querying Resource Providers: Ali El Amine (LAAS-CNRS, France); Olivier Brun (Laboratoire d'Analyse et d'Architecture des Systemes & CNRS, France); Slim Abdellatif (CNRS/LAAS & Université de Toulouse, INSA, LAAS, France); Pascal Berthou (CNRS/LAAS - Université de Toulouse, France)
On using Deep Reinforcement Learning for Multi-Domain SFC placement: Nassima Toumi (EURECOM, France); Miloud Bagaa (CSC, Finland); Adlen Ksentini (Eurecom, France)
Traffic Prediction based VNF Migration with Temporal Convolutional Network: Fangyu Zhang, Hancheng Lu, Fengqian Guo and Zhuojia Gu (University of Science and Technology of China, China)

SAC SSC1: Radio Resource Management in Satellite Networks

SAC SSC1-4 papers

Power and Bandwidth Minimization for Demand-Aware GEO Satellite Systems: Tedros Salih Abdu, Steven Kisseleff, Eva Lagunas and Symeon Chatzinotas (University of Luxembourg, Luxembourg)
Data-driven Network Orchestrator for 5G Satellite-Terrestrial Integrated Network: The ANChOR Project: Fabio Patrone (University of Genoa, Italy); Giacomo Bacci (MBI srl, Italy); Antonio Galli (University of Naples Federico II, Italy); Pietro Giardina and Giada Landi (Nextworks, Italy); Michele Luglio (University of Rome Tor Vergata - Dip. Ing. Elettronica, Italy); Mario Marchese (University of Genoa, Italy); Mattia Quadrini (University of Rome Tor Vergata - Dip. Ing. Elettronica, Italy); Cesare Roseti (University of Rome Tor Vergata, Italy); Giancarlo Sperlì (Federico II University, Italy); Attilio Vaccaro (MBI srl, Italy); Francesco Zampognaro (University of Rome Tor Vergata, Italy)
Beamforming and Power Allocation in NOMA-Based Multibeam Satellite Systems with Outage Constraint: Zining Wang and Huaicong Kong (Nanjing University of Posts and Telecommunications, China); Shuo Huang (Shanghai Aerospace Electronic Technology Institute, China); Ming Cheng (Nanjing University of Posts and Telecommunications, China); Wei-Ping Zhu (Concordia University, Canada)
Resource Scheduling in Satellite Networks: A Sparse Representation Based Machine Learning Approach: Chenxi Bao, Di Zhou, Min Sheng, Yan Shi and Jiandong Li (Xidian University, China)

SAC-BD-S1: Big Data Processing

The Optimization of Model Parallelization Strategies for Multi-GPU Training: Zechao Zhang (Zhejiang University, China); Jianfeng Chen (Hangzhou Branch, China Tower Corporation Limited, China); Bing Hu (Zhejiang University, China)
Adaptive Participant Selection in Heterogeneous Federated Learning: Rana Albelaihi, Xiang Sun, Warren Craft and Liangkun Yu (University of New Mexico, USA); CG Wang (IDCC, USA)
Automated Primary Hyperparathyroidism Screening with Neural Networks: Noah Ziems (Ball State University, USA); Shaoen Wu (Illinois State University, USA); Jim Norman (Norman Parathyroid Center, USA)
SamE: Sampling-based Embedding for Learning Representations of the Internet: Bo Hu (NTT & The University of Tokyo, Japan); Kazunori Kamiya (NTT Secure Platform Laboratories, Japan); Kenji Takahashi (NTT Ltd., USA); Akihiro Nakao (The University of Tokyo, Japan)
ATTL: An Automated Targeted Transfer Learning with Deep Neural Network: Sayyed Farid Ahamed (Old Dominion University, USA); Priyanka Aggarwal (VMASC, Old Dominion University, USA); Sachin Shetty (Old Dominion University, USA); Erin Lanus and Laura Freeman (Virginia Tech, USA)

SPC3: Signal Processing for MIMO and MISO

SPC3-5 papers

Effect of Spatial Correlation on the Performance of Non-coherent Massive MIMO based on DMPSK: Manuel Jose Lopez Morales, Kun Chen-Hu and Ana Garcia Armada (Universidad Carlos III de Madrid, Spain)
A Simplified Multi-Antenna Receiver for General Binary-Modulated Ambient Backscatter Signal: Xiyu Wang, Huseyin Yigitler and Riku Jäntti (Aalto University, Finland)
Optimal Joint Beamforming and Jamming Design for Secure and Covert URLLC: Chao Wang and Zan Li (Xidian University, China); Derrick Wing Kwan Ng (University of New South Wales, Australia)
Decentralized Linear MMSE Equalizer Under Colored Noise for Massive MIMO Systems: Xiaotong Zhao and Xin Guan (Tongji University, China); Mian Li (The Chinese University of Hong Kong, Shenzhen, China); Qingjiang Shi (Tongji University, China)
Low-Complexity Grouped Symbol-Level Precoding for MU-MISO Systems: Zichao Xiao (Dalian University Of Technology, China); Rang Liu, Yang Liu, Ming Li and Qian Liu (Dalian University of Technology, China)

TM I: Traffic management I

AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting: Chengming Hu (McGill University, Canada); Xi Chen (Samsung Electronics, Canada); Ju Wang (Samsung Electronics Canada, Canada); Hang Li (McGill University, Canada); Jikun Kang (McGill, Canada); Yi Tian Xu (Samsung AI Center, Canada); Xue Liu (McGill University, Canada); Di Wu (Samsung Electronics, Canada); Seowoo Jang (Samsung Electronics, Korea (South), Korea (South)); Intaik Park (Samsung Electronics, Korea (South)); Gregory Dudek (Samsung Electronics, Canada)
Fully-Decentralized Multi-Kernel Online Learning over Networks: Jeongmin Chae and Urbashi Mitra (University of Southern California, USA); Songnam Hong (Hanyang University, Korea (South))
Deep Learning-based QoS Prediction with Innate Knowledge of the Radio Access Network: José Perdomo (Huawei Munich Research Center, Germany & Universitat Politècnica de València, Germany); Apostolos Kousaridas (Huawei Technologies, Germany); Chan Zhou (Huawei European Research Center, Germany); Jose F Monserrat (Universitat Politècnica de València, Spain)
Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines: Benoît-Marie Robaglia (Institut Polytechnique de Paris, France); Apostolos Destounis (France Research Center, Huawei Technologies Co. Ltd., France); Marceau Coupechoux (LTCI, Télécom Paris, Institut Polytechnique de Paris, France); Dimitrios Tsilimantos (France Research Center, Huawei Technologies Co. Ltd., France)
Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility: Navdeep Uniyal and Anderson Bravalheri (University of Bristol, United Kingdom (Great Britain)); Walter Featherstone (Samsung Electronics, United Kingdom (Great Britain)); Xenofon Vasilakos (University of Bristol, United Kingdom (Great Britain)); Shangbin Wu (Samsung R&D Institute UK, United Kingdom (Great Britain)); Dan Warren (Samsung, United Kingdom (Great Britain)); Reza Nejabati and Dimitra Simeonidou (University of Bristol, United Kingdom (Great Britain))

Wednesday, December 8 2:00 - 3:30

Channel modelling

Performance Analysis of Ultra-Dense Millimeter Wave Cloud-RAN under Blockage and Interference: Behrouz Maham (Nazarbayev University, Kazakhstan)
A Non-Stationary Channel Model with Correlated NLoS/LoS States for ELAA-mMIMO: Jiuyu Liu and Yi Ma (University of Surrey, United Kingdom (Great Britain)); Jinfei Wang (Institute for Communication Systems, University of Surrey, United Kingdom (Great Britain)); Na Yi (University of Surrey, United Kingdom (Great Britain)); Songyan Xue (Huawei Technologies Co. Ltd., China); Rahim Tafazolli (University of Surrey, United Kingdom (Great Britain)); Fan Wang (Huawei Technologies, Co. Ltd., China)
Correlation Discovery and Channel Prediction in Mobile Networks: A Revisiting to Gaussian Process: Yitu Wang (NTT, Japan); Takayuki Nakachi (University of the Ryukyus, Japan); Takeru Inoue and Toru Mano (NTT Network Innovation Labs., Japan); Riichi Kudo (NTT, Japan)
Sub-Terahertz Spatial Statistical MIMO Channel Model for Urban Microcells at 142 GHz: Shihao Ju and Theodore Rappaport (New York University & NYU WIRELESS, USA)

Cloud Computing and Data Centers

HyperNAT: Scaling Up Network Address Translation with SmartNICs for Clouds: Shaoke Fang and Qingsong Liu (Tsinghua University, China); Wenfei Wu (Peking University, China)
A Dynamic Trust-Game Theoretic Access Control Model for the Cloud: Pengfei Shao and Shuyuan Jin (Sun Yat-sen University, China)
Tail-Latency and Cost Tradeoff Optimization for URLLC-Enabled Distributed Coded-Storage Data Centers: Xi Zhang and Jingqing Wang (Texas A&M University, USA)
Throughput Maximization of Virtual Machine Communications in Bandwidth-Constrained Data Centers: Jeff Lutz, Bin Tang and Christopher Gonzalez (California State University Dominguez Hills, USA)

Intelligent Spectrum Sharing

Wireless Standard Classification Using Convolutional Neural Networks: Samuel R Shebert (Virginia Tech, USA); Anthony Martone (US Army Research Laboratory, USA); R. Michael Buehrer (Virginia Tech, USA)
Enhancing Multi-RAT Coexistence in Unlicensed mmWave Bands Using Hybrid-Beamforming: Susanna Mosleh and Yao Ma (NIST, USA); Jason Coder (National Institute of Standards and Technology, USA)
Weighted Centroid Location Based Spectrum Status Identification in Cognitive Radio Network: Xiaowei Liang (Chongqing University of Posts and Telecommunications, China); Bin Shen (Chongqing University of Posts and Telecommunications (CQUPT), China); Taiping Cui (Chongqing University of Posts and Telecommunications, China); Longyang Huang (Xiamen University, China)
Mutualistic Mechanism in Symbiotic Radios: Qianqian Zhang and Ying-Chang Liang (University of Electronic Science and Technology of China, China); Hong-Chuan Yang (University of Victoria, Canada); H. Vincent Poor (Princeton University, USA)

Machine Learning for Communications

MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization: Yang Li (ShanghaiTech University & Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China); Fanglei Sun, Weiqin Zu and Wenbin Song (ShanghaiTech University, China); Ying Wen (Shanghai Jiao Tong University, China); Jun Wang (University College London, United Kingdom (Great Britain)); Yang Yang (ShanghaiTech University, China); Kai Li (School of Information Science and Technology, ShanghaiTech University, China); Liantao Wu (Shanghaitech University, China)
Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach: Jianjun Zhang, Christos Masouros and Miguel Raul Dias Rodrigues (University College London, United Kingdom (Great Britain))
Knowledge Caching for Federated Learning: Xin-Ying Zheng (National Tsing Hua University, Taiwan); Ming-Chun Lee (National Yang Ming Chiao Tung University, Taiwan); Yao-Win Peter Hong (National Tsing Hua University, Taiwan)
Communication-Computation Efficient Device-Edge Co-Inference via AutoML: Xinjie Zhang and Jiawei Shao (The Hong Kong University of Science and Technology, Hong Kong); Yuyi Mao (The Hong Kong Polytechnic University, Hong Kong); Jun Zhang (The Hong Kong University of Science and Technology, Hong Kong)
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization: Shuai Wang, Dachuan Li, Rui Wang and Qi Hao (Southern University of Science and Technology, China); Yik-Chung Wu (The University of Hong Kong, Hong Kong); Derrick Wing Kwan Ng (University of New South Wales, Australia)

Multimedia and Video Streaming

Improving DASH Encoding with Scenes and Downscaling Techniques for VoD Streaming: Wilmer Moina-Rivera (Universitat de Valéncia, Spain); Juan Gutiérrez-Aguado, Miguel Garcia-Pineda and Jose M. Claver (Universitat de València, Spain)
Caching Heterogeneous Size Content in Small Cell Networks with CoMP Joint Transmissions: Guilherme Iecker Ricardo (Eurecom & Université Côte d'Azur, Inria, France); Giovanni Neglia (Inria, France); Thrasyvoulos Spyropoulos (EURECOM, France)
Maximizing Producer-Driven Cache Valuation in Information-Centric Networks: Faria Khandaker and Wenjie Li (Queen's University, Canada); Sharief Oteafy (DePaul University, USA); Hossam S. Hassanein (Queen's University, Canada)
Just-Noticeable-Difference Based Coding and Rate Control of Mobile 360\degree Video Streaming: Sushu Yang, Peng Yang and Hongkui Wang (Huazhong University of Science and Technology, China); Ning Zhang (University of Windsor, Canada); Li Yu (Huazhong University of Science & Technology, China)
Virtual Reality Gaming on the Cloud: A Reality Check: Sihao Zhao (Ryerson University, Canada); Hatem Abou-Zeid (University of Calgary, Canada); Ramy Atawia (Queen's University, Canada); Yoga Suhas Kuruba Manjunath (Ryerson University, Canada); Akram Bin Sediq (Ericsson, Canada); Xiao-Ping (Steven) Zhang (Ryerson University, Canada)

Reconfiguration and Open Platforms

Emulation of LTE/5G Over a Lightweight Open-Platform: Re-configuration Delay Analysis: Nikolas Kotopulis Ostinelli (University of Trento, Italy); Sisay Tadesse Arzo (Via Della Malpensada 140, Italy & ICT Doctral School, University of Trento, USA); Fabrizio Granelli (University of Trento, Italy); Michael Devetsikiotis (University of New Mexico, USA)
ChaT: Evaluation of Reconfigurable Distributed Network Systems Using Metamorphic Testing: Alif Akbar Pranata, Olivier Barais and Johann Bourcier (Inria, IRISA, Univ Rennes 1, France); Ludovic Noirie (Nokia Bell Labs, France)
Permissioned Blockchain Reinforced API Platform for Data Management in IoT-based Sensor Networks: Marc Jayson Baucas and Petros Spachos (University of Guelph, Canada)
MIINT: Middleware for IIoT Platforms Integration: Riccardo Venanzi (University of Bologna & University of Ferrara, Italy); Alberto Cavalucci, Luca Foschini and Paolo Bellavista (University of Bologna, Italy)
Ernie: Data Center Multicast Source Routing: Jarallah Alqahtani and Bechir Hamdaoui (Oregon State University, USA)

CE II: AI-based channel estimation II

SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities: Wenliang Qi (Nokia Bell Labs, China); Jiaqi Quan (Nokia & Nokia BellLabs, China); Jakob Hoydis (Nvidia, France); Chenhui Ye (Nokia Bell Labs China, China)
Deep Autoencoder-based Massive MIMO CSI Feedback with Quantization and Entropy Coding: Sriram Ravula (The University of Texas at Austin, USA); Swayambhoo Jain (Microsoft, USA)
Learning-aided joint time-frequency channel estimation for 5G new radio: Nitin Jonathan Myers (Delft University of Technology, The Netherlands); Hyukjoon Kwon (Samsung Semiconductor, Inc., USA); Yacong Ding (University of California, San Diego, USA); Kee-Bong Song (Samsung Semiconductor Inc., USA)
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking: Pratik Kumar ( & Qualcomm Research AI, The Netherlands); Rana Ali Amjad (Amazon Search, USA); Arash Behboodi (Qualcomm, NL, The Netherlands); Joseph B. Soriaga (Qualcomm, Inc., USA); Max Welling (University of Amsterdam, The Netherlands)
Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standard: Abdul karim Gizzini (ENSEA & ETIS, France); Marwa Chafii (New York University Abu Dhabi, United Arab Emirates); Shahab Ehsanfar (Technische Universität Chemnitz, Germany); Raed Shubair (New York University (NYU) Abu Dhabi, United Arab Emirates)

CISS7: Physical Layer Security 2

Experimental Evaluation of a Modular Coding Scheme for Physical Layer Security: Luis A. Torres-Figueroa, Ullrich J Mönich, Johannes Voichtleitner and Anna Frank (Technische Universität München, Germany); Vlad Costin Andrei (Technische Unversität München, Germany); Moritz Wiese (Technical University of Munich, Germany); Holger Boche (Technical University Munich, Germany)
Physical Layer Security for V2I Communications: Reflecting Surfaces Vs. Relaying: Neji Mensi and Danda B. Rawat (Howard University, USA); Elyes Balti (The University of Texas at Austin, USA)
Simplified Denoising for Robust Specific Emitter Identification of Preamble-based Waveforms: Joshua Tyler, Mohamed Fadul, Donald R Reising and Erkan Kaplanoglu (University of Tennessee at Chattanooga, USA)
Precoding-Based Mode Hopping for Anti-Jamming: Liping Liang and Wenchi Cheng (Xidian University, China); Wei Zhang (The University of New South Wales, Australia); Hailin Zhang (Xidian University, China)
Covert communication via dynamic spectrum control-assisted transmission scheme: Chenxi Li and Zan Li (Xidian University, China); Huaqing Wu and Qihao Li (University of Waterloo, Canada); Lei Guan (Xidian University, China); Sherman Shen (University of Waterloo, Canada)

CSSMA2: Networking and Learning

CSSMA2-5 papers

Taxonomy of Machine learning techniques and elastic resource optimization in sliced networks: Jamal Laknifli (University of Versailles Saint-Quentin-en-Yvelines, France); Abdelhak Mourad Gueroui (University of Versailles, France); Abderrezak Rachedi (Laboratoire d'Informatique Gaspard Monge (LIGM UMR8049), France); Yacine Benallouche (University Of Sorbonne Paris Nord, France)
An Approach to Network Service Placement using Intelligent Search Strategies over Branch-and-Bound: Masoud Taghavian (IMT Atlantique & B-Com, France); Yassine Hadjadj-Aoul (University of Rennes 1, France); Geraldine Texier (IMT Atlantique/IRISA & BCOM, France); Philippe Bertin (Orange Labs & Bcom, France)
Machine Learning based Root Cause Analysis for SDN Network: Van Tong (University of Paris Est Creteil, France); Sami Souihi (University Paris Est UPEC, France); Hai Anh Tran (Hanoi University of Science and Technology, Vietnam); Abdelhamid Mellouk (UPEC, University Paris-Est Creteil Val de Marne, France)
Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning: Shahram Mollahasani and Melike Erol-Kantarci (University of Ottawa, Canada); Rodney Wilson (Chief Technologist, Research Networks, Canada)
SCHEMA: Service Chain Elastic Management with Distributed Reinforcement Learning: Anestis Dalgkitsis (Iquadrat & Polytechnic University of Catalonia, Spain); Luis A Garrido (Iquadrat Informatica S. L., Spain); Prodromos-Vasileios Mekikis (Aristotle University of Thessaloniki, Greece); Kostas Ramantas (Iquadrat Informatica, Greece); Luis Alonso (Universitat Politècnica de Catalunya & School of Telecommunications and Aerospace Engineering of Castelldefels, Spain); Christos Verikoukis (UoP & UB, Spain)

CT3: Channel Model and Analysis

Stochastic Model for Time-Varying Millimeter-Wave Beam Gains with User Orientation Changes: Ashok Kumar Reddy Chavva (Samsung Electronics, India); Neelesh B. Mehta (Indian Institute of Science, India)
A new discrete-time model for channels impaired by phase noise: Amina Piemontese and Giulio Colavolpe (University of Parma, Italy); Thomas Eriksson (Chalmers University of Technology, Sweden)
Asymptotic Analysis of Diversity Receptions Over Correlated Lognormal-Rician Fading Channels: Bingcheng Zhu (Southeast University, China); Zaichen Zhang and Lei Wang (National Mobile Communications Research Laboratory, Southeast University, China); Jian Dang (Southeast University & National Mobile Communications Research Laboratory, China); Liang Wu (Southeast University, China); Lanting Fang (School of Cyber Science and Engineering, Southeast University, China); Julian Cheng (University of British Columbia, Canada)
Coverage in Terahertz Cellular Networks with Imperfect Beam Alignment: Nicholas R Olson (University of Texas at Austin, USA); Jeffrey Andrews (The University of Texas at Austin, USA); Robert Heath (North Carolina State University & The University of Texas at Austin, USA)

EH-S3: eHealth - Session 3

Chair: Andreas Andreou (University of Nicosia Research Foundation, Cyprus)

Enhancement of COVID-19 Detection by Unravelling its Structure and Selecting the Optimal Attributes: Andreas Andreou (University of Nicosia Research Foundation, Cyprus); Constandinos X. Mavromoustakis (University of Nicosia & University of Nicosia Research Foundation, Cyprus); George Mastorakis (Hellenic Mediterranean University, Greece); Jordi Mongay Batalla (Warsaw University of Technology & National Institute of Telecommunications, Poland); John Sahalos (Aristotle University of Thessaloniki, GR, Thessaloniki, Greece & University of Nicosia, CY, Nicosia, Cyprus); Evangelos Pallis (Hellenic Mediterranean University, Greece); Evangelos K. Markakis (Hellenic Mediteranean University, Greece)
Exploiting Passive Beamforming of Smart Speakers to Monitor Human Heartbeat in Real Time: Zhi Wang, Fusang Zhang, Siheng Li and Beihong Jin (Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences, China)
Remote Sensing of Heartbeat based on Space Diversity Using MIMO FMCW Radar: Kohei Yamamoto, Koji Endo and Tomoaki Ohtsuki (Keio University, Japan)
Energy Efficient Capacitive Body Channel Access Schemes for Internet of Bodies: Abeer AlAmoudi (King Abdullah University of Science and Technology, Saudi Arabia & KAUST, Saudi Arabia); Abdulkadir Celik (King Abdullah University of Science & Technology, Saudi Arabia); Ahmed M. Eltawil (King Abdullah University of Science and Technology, Saudi Arabia)

GCSN1: Green Communication Networks-1

GCSN1-5 papers

User Scheduling in Federated Learning over Energy Harvesting Wireless Networks: Rami Hamdi (AFG University of Aberdeen, Qatar); Mingzhe Chen (Princeton University, USA); Ahmed Ben Saïd (Qatar University, Qatar); Marwa Qaraqe (Hamad Bin Khalifa University, Qatar); H. Vincent Poor (Princeton University, USA)
Energy Sharing based Cooperative Dual-powered Green Cellular Networks: Ashutosh Balakrishnan and Swades De (Indian Institute of Technology Delhi, India); Li-Chun Wang (National Chiao Tung University, Taiwan)
Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation: David López-Pérez (Huawei Technologies France, France); Antonio De Domenico (Huawei Technologies Co. Ltd., France Research Center, France); Nicola Piovesan (Huawei Technologies, France); Xinli Geng (Shanghai Research Center, Huawei Technologies, China); Harvey Bao (Huawei Technologies, FRC, France); Mérouane Debbah (Huawei, France)
Power Usage of Energy Harvesting Sensors with a Drone Sink: A Reinforcement Learning Based Approach: Sachitha Kusaladharma (Concordia University, Canada); Raviraj Adve (University of Toronto, Canada)
Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G: Medhat Elsayed and Roghayeh Joda (University of Ottawa, Canada); Hatem Abou-Zeid (University of Calgary, Canada); Ramy Atawia (Queen's University, Canada); Akram Bin Sediq and Gary Boudreau (Ericsson, Canada); Melike Erol-Kantarci (University of Ottawa, Canada)

GlobecomAerialCom-S2: Globecom 2021 Aerial Communications Session 2

RIS-assisted Aerial Backhaul System for UAV-BSs: An Energy-efficiency Perspective: Hong-Bae Jeon (Yonsei University, Korea (South)); Sung-Ho Park (Datasolution, Inc., Korea (South)); Jaedon Park (Agency for Defense Development, Korea (South)); Kaibin Huang (The University of Hong Kong, Hong Kong); Chan-Byoung Chae (Yonsei University, Korea (South))
Millimeter-Wave UAV Coverage in Urban Environments: Seongjoon Kang (New York University Tandon School of Engineering, USA); Marco Mezzavilla (NYU Tandon School of Engineering, USA); Angel Lozano (Universitat Pompeu Fabra (UPF), Spain); Giovanni Geraci (Universitat Pompeu Fabra, Spain); William Xia and Sundeep Rangan (New York University, USA); Vasilii Semkin (VTT Technical Research Centre of Finland, Finland); Giuseppe Loianno (NYU, USA)
Multimodal Wildfire Surveillance with UAV: Tomasz Lewicki and Kaikai Liu (San Jose State University, USA)
User Fairness Optimization for Multi-UAV-Aided NOMA Networks: A Location-Aware Perspective: Yueshan Lin and Wei Feng (Tsinghua University, China); Jue Wang (Nantong University, China); Shi Jin (Southeast University, China); Ning Ge (Tsinghua University, China)
Uplink Data Transmission Based on Collaborative Beamforming in UAV-assisted MWSNs: Aimin Wang, Yuxin Wang, Geng Sun, Jiahui Li, Shuang Liang and Yanheng Liu (Jilin University, China)

IoTSN 3: Technical Papers

Dynamic Switching in LoRaWAN under multiple Gateways and Heavy Traffic Load: Floriano De Rango (University of Calabria, Italy); Antonino Lipari (Università della Calabria, Italy); Daniele Stumpo and Antonio Iera (University of Calabria, Italy)
Coded Relaying in LoRa Sensor Networks: Siddhartha S. Borkotoky (Indian Institute of Technology Bhubaneswar, India); Pavan Datta Abbineni (Indian Institute of Technology, Bhubaneshwar, India); Vatsalya Chaubey (Indian Institute of Technology Bhubaneswar, India); Sonu Rathi (Indian Institute of Technology Bhubaneshwer, India)
M-ary Aggregate Spread Pulse Modulation in LPWANs for IoT applications: Alexei V. Nikitin (Nonlinear LLC, USA); Ruslan L. Davidchack (University of Leicester, United Kingdom (Great Britain))
Receiving Colliding LoRa Packets with Hard Information Iterative Decoding: Raejoon Jung (Stanford University, USA); Philip Levis (Stanford, USA)

MWN18: Inter-networking and Software Defined Wireless Networks

Combinatorial User Association in Heterogeneous Wireless Networks via a Statistical Representation: Mohammad Amir Dastgheib (Sharif University of Technology, Iran); Hamzeh Beyranvand (Amirkabir University of Technology, Iran); Jawad Salehi (Sharif University of Technology, Iran)
Dynamic Routing for Software-Defined LEO Satellite Networks based on ISL Attributes: Zhenzhen Han (Chongqing University of Posts and Telecommunications, China); Guofeng Zhao (ChongQing University of Posts and Telecommunications & Network and Computation Research Center, China); Yuan Xing, Nanbin Sun and Chuan Xu (Chongqing University of Posts and Telecommunications, China); Shui Yu (University of Technology Sydney, Australia)
Load Balancing and Handover Optimization in Multi-band Networks using Deep Reinforcement Learning: Manan Gupta (The University of Texas at Austin, USA); Ryan M. Dreifuerst (University of Texas at Austin, USA); Ali Yazdan, Po-Han Huang and Sanjay Kasturia (Facebook, USA); Jeffrey Andrews (The University of Texas at Austin, USA)
On Velocity-based Association Policies for Multi-tier 5G Wireless Networks: Pierre Popineau (INRIA & ENS Paris, France); Sanket Sanjay Kalamkar (Qualcomm Inc., USA); Francois Baccelli (UT Austin & The University of Texas at Austin, USA)
Maximizing the Connectivity of Wireless Network Slicing Enabled Industrial Internet-of-Things: Bo Yin, Jianhua Tang and Miaowen Wen (South China University of Technology, China)

MWN5: Intelligent Reflecting Surfaces

MWN5-6 papers

Hybrid Precoding for Multiple IRS-Assisted mmWave MIMO Communication Exploiting Mixed Timescale CSI: Fan Yang, Jun-Bo Wang and Hua Zhang (Southeast University, China); Julian Cheng (University of British Columbia, Canada)
Static Reflecting Surface Based on Population-level Optimization: Hanan Al-Tous and Olav Tirkkonen (Aalto University, Finland)
Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System: Bifeng Ling, Jiangbin Lyu and Liqun Fu (Xiamen University, China)
Multi-Tier Task Offloading with Intelligent Reflecting Surface and Massive MIMO Relay: Kunlun Wang (East China Normal University, China); Yong Zhou (ShanghaiTech University, China); Qingqing Wu (University of Macau, China); Wen Chen (Shanghai Jiao Tong University, China); Yang Yang (ShanghaiTech University, China)
Real-Time Beam steering in mmWave with Reconfigurable Intelligent Meta-surfaces: Carola Rizza (Inria, France); Valeria Loscrí (Inria Lille-Nord Europe, France); Mohammad Ojaroudi (University of Limoges/CNRS, France)

NGNI-10: Network management and control - 1

5 papers

Low Priority Congestion Control for Multipath TCP: Yuan Zhang, Jian Li, Jiayu Yang, Yitao Xing, Rui Zhuang and Kaiping Xue (University of Science and Technology of China, China)
Traffic Statistical Upper Limit Prediction from Flow Features in Network Provisioning: Erina Takeshita (NTT, Japan); Tomoya Kosugi and Tomoaki Yoshida (NTT Access Network Service Systems Laboratories, NTT Corporation, Japan)
Adaptive Multi-slot-ahead Prediction of Network Traffic with Gaussian Process: Yitu Wang (NTT, Japan); Takayuki Nakachi (University of the Ryukyus, Japan); Takeru Inoue and Toru Mano (NTT Network Innovation Labs., Japan)
A Novel Mobile Core Network Architecture for Satellite-terrestrial Integrated Network: Zhenzhen Han, Chuan Xu, Kun Liu and Le Yu (Chongqing University of Posts and Telecommunications, China); Guofeng Zhao (ChongQing University of Posts and Telecommunications & Network and Computation Research Center, China); Shui Yu (University of Technology Sydney, Australia)
Flow-level Adaptive Routing Scheme for RDMA enabled Dragonfly Network: Hang Wang and Ming Zhang (University of Science and Technology of China, China); Peilin Hong (Dept. EEIS & USTC, China)

SAC SSC2: Next-Generation Satellite Networks

SAC SSC2-5 papers

Multi-Agent DRL for User Association and Power Control in Terrestrial-Satellite Network: Xiaonan Li, Haijun Zhang, Wei Li and Keping Long (University of Science and Technology Beijing, China)
Beamforming Design for IRS-assisted Uplink Cognitive Satellite-Terrestrial Networks with NOMA: Bai Zhao, Huaicong Kong and Jian Ouyang (Nanjing University of Posts and Telecommunications, China); Jun-Bo Wang (Southeast University, China); Wei-Ping Zhu (Concordia University, Canada)
Weighted Sum-Rate Maximization for Multi-IRS Aided Integrated Terrestrial-Satellite Networks: Hao Dong, Cunqing Hua and Lingya Liu (Shanghai Jiao Tong University, China); Wenchao Xu (The Hong Kong Polytechnic University, Hong Kong); Rahim Tafazolli (University of Surrey, United Kingdom (Great Britain))
Dual-DNN Assisted Optimization for Efficient Resource Scheduling in NOMA-Enabled Satellite Systems: Anyue Wang, Lei Lei, Eva Lagunas, Symeon Chatzinotas and Björn Ottersten (University of Luxembourg, Luxembourg)
Adaptive Access Mode Selection in Space-Ground Integrated Vehicular Networks: Conghao Zhou, Huaqing Wu, Mingcheng He and Wen Wu (University of Waterloo, Canada); Nan Cheng (Xidian University, China); Sherman Shen (University of Waterloo, Canada)

SAC-BD-S2: Big Data Applications (1)

A Blockchain-based Database System for Decentralized Information Management: Dekai Yan (Harbin Institute of Technology, Shenzhen, China); Xiaohua Jia (City University of Hong Kong, Hong Kong); Jiangang Shu (Peng Cheng Laboratory, China); Rutao Yu (Harbin Institute of Technology, Shenzhen, China)
CMF Net: Detecting Objects in Infrared Traffic Image with Combination of Multiscale Features: Zhifang Liao, Yiqi Zhao and Xuechun Huang (Central South University, China); Jinsong Wu (Universidad de Chile, Chile)
Spatiotemporal Graph Neural Network for Traffic Prediction Exploiting Cascading Behavior: Haoxiang Zhang, Xiaoying Gan, Luoyi Fu, Liyao Xiang and Haiming Jin (Shanghai Jiao Tong University, China)
Combining Syntactic and Position Relation for Targeted Sentiment Analysis Using Graph Neural Network: Puning Zhang and Rongjian Zhao (Chongqing University of Posts and Telecommunications, China); Zhigang Yang (Chongqing University of Posts and Telecommunications & Chongqing University of Arts and Sciences, China); Dapeng Wu (CQUPT, China); Ruyan Wang (Chongqing University of Posts and Telecommunications, China)
Accurate Spectrum Prediction Based on Joint LSTM with CNN toward Spectrum Sharing: Liang Zhang (ZTE Company, China); Min Jia (Harbin Institute of Technology, China)

SPC2: Signal Processing for Emerging Systems

SPC2-5 papers

Transmit Beamforming Optimization for Integrated Sensing and Communication: Haocheng Hua and Jie Xu (The Chinese University of Hong Kong (Shenzhen), China); Tony Xiao Han (Huawei Technologies Co., Ltd., China)
On the Performance of Multi-Agent Detection in Mobile Delay-Sensitive Networks: Kai Gu, Jian Wang, Yu Wang and Yuan Shen (Tsinghua University, China)
Joint Recommendation and Pricing for Cache-Aided RAN with Malicious Users: A Game Theoretic Method: Xianyang Zhang, Haiming Hui and Wei Chen (Tsinghua University, China); Zhu Han (University of Houston, USA)
User-Side RIS: Realizing Large-Scale Array at User Side: Kunzan Liu, Zijian Zhang and Linglong Dai (Tsinghua University, China)
Device Activity Detection for Grant-Free Massive Access Under Frequency-Selective Rayleigh Fading: Yuhang Jia (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China); Wuyang Jiang (Shanghai University of Engineering Science, China)

TM II: Traffic management II

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic: Fabio Saggese (University of Pisa, Italy); Luca Pasqualini (University of Siena, Italy); Marco Moretti (Università di Pisa, Italy); Andrea Abrardo (University of Siena, Italy)
Optimized Transfer Learning For Wireless Channel Selection: Mohammad Askarizadeh (ETS University of Quebec, Canada); Mostafa Hussien (ETS, Canada); Masoumeh Zare (University of Montreal, Canada); Kim Khoa Nguyen (University of Quebec, Canada)
Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic: Mingqi Yuan (The Chinese University of Hong Kong, Shenzhen, China); Qi Cao (Nokia Solutions and Networks System Technology (Beijing) Co., Ltd, China); Man-On Pun and Yi Chen (The Chinese University of Hong Kong, Shenzhen, China)
Fast and Robust Online Traffic Classification Supporting Unseen Applications: Yue Gu, Dan Li, Kaihui Gao and Yang Cheng (Tsinghua University, China)
SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning: Fabien Meslet-Millet (IRIT-ENSEEIHT, France); Emmanuel Chaput (Irit-Enseeiht, France); Sandrine Mouysset (Universite de Toulouse, France)

Symposia: Wednesday, 8 December

Back to Main Technical Symposium page >>

Wednesday, December 8

Wednesday, December 8 9:00 - 10:30

Beamforming 1

Localization

MIMO

NOMA

Reinforcement Learning

URLLC

CE I: AI-based channel estimation I

CISS1: AI aided Security 1

CISS9: Communications Security

CSSMA5: Communication and Network Security

CT1: Communication Theory

EH-S1: eHealth - Session 1

GCSN2: Green Communication Systems

IoTSN 1: Technical Papers

IRS: ML/AI for intelligent reflecting surface

MWN1: Resource Management in 5G networks

MWN15: Blockchain and Age factor in Wireless Networks

MWN2: Edge Computing and Fog Computing

NGNI-3: Edge/Fog Computing

SPC1: Signal Processing for OFDM

SPC4: Localization and Identification

SPC6: Signal Processing for Intelligent Surface Systems-I

Wednesday, December 8 11:00 - 12:30

5G and Beyond Radio Access Network

Channel estimation

Cloud and Edge Computing I

Deep Learning II

Social Network Applications

UAVs and QoS

CISS2: AI aided Security 2

Cod: Machine learning for source-channel coding

CSSMA1: Communications and Mobility

CT2: Communication Theory for Time-Sensitive Applications

EH-S2: eHealth - Session 2

GCSN4: Green RIS and Computing Systems

GlobecomAerialCom-S1: Globecom 2021 Aerial Communications Session 1

IoTSN 2: Technical Papers

MWN3: Beamforming and MIMO Communications

MWN4: Federated Learning in Wireless Networks (I)

NGNI-8: Network Functions Virtualization (NFV) - 1

SAC SSC1: Radio Resource Management in Satellite Networks

SAC-BD-S1: Big Data Processing

SPC3: Signal Processing for MIMO and MISO

TM I: Traffic management I

Wednesday, December 8 2:00 - 3:30

Channel modelling

Cloud Computing and Data Centers

Intelligent Spectrum Sharing

Machine Learning for Communications

Multimedia and Video Streaming

Reconfiguration and Open Platforms

CE II: AI-based channel estimation II

CISS7: Physical Layer Security 2

CSSMA2: Networking and Learning

CT3: Channel Model and Analysis

EH-S3: eHealth - Session 3

GCSN1: Green Communication Networks-1

GlobecomAerialCom-S2: Globecom 2021 Aerial Communications Session 2

IoTSN 3: Technical Papers

MWN18: Inter-networking and Software Defined Wireless Networks

MWN5: Intelligent Reflecting Surfaces

NGNI-10: Network management and control - 1

SAC SSC2: Next-Generation Satellite Networks

SAC-BD-S2: Big Data Applications (1)

SPC2: Signal Processing for Emerging Systems

TM II: Traffic management II

Patrons