Symposia: Thursday, 9 December

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Madrid time	Thursday, 9 December
09:00 am ‑ 10:30 am	Cloud and Edge Computing II Intelligent Resource Allocation Modelling and Network Performance (2) Power Saving and Energy Management Social Network Analysis I Wireless Communications BM: Beamforming CISS12: Wireless Networks Security CSSMA6: Services and Applications CT4: Coding (II) EH-S4: eHealth - Session 4 GCSN6: Green IoT IoTSN 4: Technical Papers MA: Massive access MWN17: Cross Layer Design, Optimization, Mobile Users MWN19: Machine Learning and Emerging Technologies MWN6: Federated Learning in Wireless Networks (II) NGNI-11: Network management and control - 2 ONS1: Optical Wireless Communications SAC SSC3: Signal Processing for Satellite Systems I SAC-BD-S3: Data-Driven Communications and Networking SPC9: Channel Estimation and Reconstruction
10:30 am ‑ 11:00 am
11:00 am ‑ 12:30 pm	Intelligent Reflective Surfaces 1 Modelling and Network Performance (1) V2X and Resource Management CISS10: Privacy CISS4: IoT Security 1 CS: Coding and secrecy CSSMA9: Service and Mobility Management CT5: Distributed Computing EH-S5: eHealth - Session 5 GCSN7: Green Communication Networks-2 GlobecomAerialCom-S3: Globecom 2021 Aerial Communications Session 3 IoTSN 5: Technical Papers IoTSN 6: Technical Papers Loc: AI-based localization techniques MWN7: Scheduling, NOMA and reliable networks NGNI-7: Unmanned Aerial Vehicle (UAV) networking ONS2: Visible Light Communications SAC MBMSC1: Molecular Communications: Theory and Modeling SAC SGC1: Smart Grid Optimization SAC SSC4: Signal Processing for Satellite Systems II SAC-FDC-1: Physical Layer Full Duplex Techniques SPC10: Signal Processing for Intelligent Surface Systems-II
12:30 ‑ 2:00 pm
2:00 pm ‑ 3:30 pm	Machine Learning and Edge Computing Massive MIMO Social Recommendation CISS14: SDN & Computing Security CISS8: Blockchain CSSMA7: Network Virtualization CT6: Detection and Estimation Theory FL: Federated learning GlobecomAerialCom-S4: Globecom 2021 Aerial Communications Session 4 IoTSN 7: Technical Papers IoTSN 8: Technical Papers MWN10: Vehicular Communication Networks MWN11: Performance Evaluation and LTE Networks MWN12: Pervasive Systems and Cellular Networks NGNI-5: Vehicle Networking NGNI-6: Software Defined Networking (SDN) ONS3: Optical Transmission Systems and Processing SAC-BD-S4: Big Data and Security SAC-QCC: Quantum Communications & Computing SPC8: Signal Processing for Massive MIMO Sys: System design
3:30 pm ‑ 5:30 pm

Thursday, December 9

Thursday, December 9 9:00 - 10:30

Cloud and Edge Computing II

Predictable Bandwidth Slicing with Open vSwitch: Jesse Chen and Behnam Dezfouli (Santa Clara University, USA)
Context-Aware Augmented Reality with 5G Edge: Jacky Cao (University of Oulu, Finland); Xiaoli Liu (University of Helsinki, Finland); Xiang Su (Norwegian University of Science and Technology, Norway & University of Oulu, Finland); Sasu Tarkoma (University of Helsinki, Finland); Pan Hui (Hong Kong University of Science and Technology & University of Helsinki, Hong Kong)
EVBLB: Efficient Voronoi Tessellation-Based Load Balancing in Edge Computing Networks: Vahid Sohrabi, Mohammad Esmaeil Esmaeili, Mahdi Dolati and Ahmad Khonsari (University of Tehran, Iran); Aresh Dadlani (Nazarbayev University, Kazakhstan)
OCDST: Offloading Chained DNNs for Streaming Tasks: Guoliang Gao (Huanke Road No. 199 & ShanghaiTech University, China); Liantao Wu (Shanghaitech University, China); Ziyu Shao, Yang Yang and Zhouyang Lin (ShanghaiTech University, China)

Intelligent Resource Allocation

Multiple Relay Robots-Assisted URLLC for Industrial Automation with Deep Neural Networks: Dang Van Huynh (Queen's University Belfast, United Kingdom (Great Britain)); Saeed Reza Khosravirad (Nokia - Bell Labs, USA); Long D. Nguyen (Dong Nai University, Vietnam); Trung Q. Duong (Queen's University Belfast, United Kingdom (Great Britain))
Adaptive Power and Rate Control for Mixed Proactive Pushing and On-demand Traffic: A CMDP Approach: Changkun Li and Wei Chen (Tsinghua University, China)
Social Welfare Maximization Auction in Joint Radar Communication Systems for Autonomous Vehicles: Ismail Lotfi and Dusit Niyato (Nanyang Technological University, Singapore); Sumei Sun (Institute for Infocomm Research, Singapore); Dong In Kim (Sungkyunkwan University (SKKU), Korea (South))
Temporal and Spectral Analysis of Spectrum Hole Distributions in an LTE Cell: Rui Zou (North Carolina State University, USA); Wenye Wang and Huaiyu Dai (NC State University, USA)
Load-balanced Task Allocation for Covid-19 Close Contact Detection in Heterogeneous MEC Networks: Shaohua Yue, Pengfei Wang, Boya Di and Lingyang Song (Peking University, China)

Modelling and Network Performance (2)

A Boolean Network Tomography based Methodfor Deterministic Multi-point Fault Detection: Hai Wan, Sukun Zhang and Xibin Zhao (Tsinghua University, China)
Efficient Network Reliability Evaluation for Client-Server Model: Kengo Nakamura (NTT Communication Science Laboratories, Japan); Takeru Inoue (NTT Network Innovation Labs., Japan); Masaaki Nishino and Norihito Yasuda (NTT Comunication Science Laboratories, Japan)
Performance Analysis of Tag Embedded Based Message Authentication Scheme: Malak Qaisi and Saud Althunibat (Al-Hussein Bin Talal University, Jordan); Marwa Qaraqe (Hamad Bin Khalifa University, Qatar)
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing: Sayantan Chowdhury and Ben Liang (University of Toronto, Canada); Ali Tizghadam (TELUS Communications, Canada); Ilijc Albanese (TELUS Communications Inc., Canada)
Average Age of Information in Two-Way Relay Networks with Service Preemptions: Masoumeh Moradian (Institute for Research in Fundamental Sciences (IPM), Iran); Aresh Dadlani (Nazarbayev University, Kazakhstan)

Power Saving and Energy Management

DCP DRX: An Enhanced Power Saving Mechanism in NR: He-Hsuan Liu, Kuang-Hsun Lin and Hung-Yu Wei (National Taiwan University, Taiwan)
Uninterrupted Connectivity Time in THz Systems Under User Micromobility and Blockage: Dmitri Moltchanov (Tampere University, Finland); Darya Ostrikova, Vitalii Beschastnyi and Yuliya Gaidamaka (RUDN University, Russia); Yevgeni Koucheryavy (Tampere University, Finland)
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning: Mina Razghandi (University of Central Florida, USA); Hao Zhou and Melike Erol-Kantarci (University of Ottawa, Canada); Damla Turgut (University of Central Florida, USA)
Energy-efficient Joint Computational and Network Resource Planning in Beyond 5G Networks: Marios Gatzianas (Aristotle University of Thessaloniki & Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece); Agapi Mesodiakaki (Aristotle University of Thessaloniki (AUTH) & Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece); George Kalfas and Nikos Pleros (Aristotle University of Thessaloniki & Center for Interdisciplinary Research and Innovation, Thessaloniki, Greece)
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer: Rami Hamdi (AFG University of Aberdeen, Qatar); Ahmed Ben Saïd (Qatar University, Qatar); Aiman Erbad (Hamad Bin Khalifa University, Qatar); Amr Mohamed (Qatar University, Qatar); Mounir Hamdi (Hamad Bin Khalifa University, Qatar); Mohsen Guizani (Qatar University, Qatar)

Social Network Analysis I

HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment: Fan Zhou, Ce Li, Xovee Xu and Leyuan Liu (University of Electronic Science and Technology of China, China); Goce Trajcevski (Iowa State University, USA)
Joint Connection and Content Embedding for Link Prediction in Social Networks: Linjie Zhang, Xiaoyan Zhu and Jianfeng Ma (Xidian University, China)
MRAInf: Multilayer Relation Attention based Social Influence Prediction Net with Local Stimulation: Zhenhua Tan, Fan Li and Danke Wu (Northeastern University, China)
On Comparing and Enhancing Two Common Approaches to Network Community Detection: Niko Motschnig, Alexander Ramharter, Oliver Schweiger and Philipp Zabka (University of Vienna, Austria); Klaus-Tycho Foerster (TU Dortmund, Germany)

Wireless Communications

On the Performance of Delay Line Based OAM Communications: Wei Yu (Shanghai Institute of Microsystem and Information Technology, CAS, China); Bin Zhou (Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China); Zhiyong Bu (Shanghai Institute of Microsystem and Information Technology, CAS, China)
The effect of ADC resolution on concurrent, multiband, direct RF sampling receivers: Stephen Henthorn (University of Sheffield, United Kingdom (Great Britain)); Reza Mohammadkhani (University of Sussex, United Kingdom (Great Britain)); Timothy O'Farrell and Kenneth Lee Ford (University of Sheffield, United Kingdom (Great Britain))
Semantic Communications for Speech Recognition: Zhenzi Weng and Zhijin Qin (Queen Mary University of London, United Kingdom (Great Britain)); Geoffrey Ye Li (Imperial College London, United Kingdom (Great Britain))
Enabling Full Mutualism for Symbiotic Radio with Massive Backscatter Devices: Jingran Xu, Zhuoyin Dai and Yong Zeng (Southeast University, China)
A Novel Rate Combining Model for Coded Modulation with Applications to Power Allocation: Eva Song (Futurewei Technologies, USA); Guosen Yue (FutureWei Technologies, Inc., USA)

BM: Beamforming

Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks: Xiaochen Zhang, Haitao Zhao, Jun Xiong, Xiaoran Liu, Li Zhou and Ji-Bo Wei (National University of Defense Technology, China)
Learning Probing Beams for Fast mmWave Beam Alignment: Yuqiang Heng (University of Texas at Austin, USA); Jianhua Mo (Samsung, USA); Jeffrey Andrews (The University of Texas at Austin, USA)
Machine Learning for Robust Beam Tracking in Mobile Millimeter-Wave Systems: Sopan Sarkar, Marwan Krunz and Irmak Aykin (University of Arizona, USA); David G Manzi (Raytheon Technologies, USA)
Hierarchical Beamforming in Random Access Channels: Adrian Agustin (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/iCERCA), Spain); Josep Vidal (Universitat Politècnica de Catalunya, Spain); Margarita Cabrera-Bean (Universitat Politècnica de Catalunya - Barcelona Tech (UPC), Spain)
Deep Learning Based Power Control for Cell-Free Massive MIMO with MRT: Lou Salaun (Nokia Bell Labs, France); Hong Yang (Bell Labs, USA)

CISS12: Wireless Networks Security

Preamble Injection and Spoofing Attacks in Wi-Fi Networks: Zhengguang Zhang and Marwan Krunz (University of Arizona, USA)
Privacy-preserving D2D Cooperative Location Verification: Shushu Liu (Aalto University, Finland); Zheng Yan (Xidian University, China & Aalto University, Finland); Raimo Kantola (Aalto University, Finland)
iCoding: Countermeasure Against Interference and Eavesdropping in Wireless Communications: Zhao Li and Yanyan Zhu (Xidian University, China); Kang G. Shin (University of Michigan, USA)
Detecting Abnormal Nodes in Cluster-tree Networks via the Likelihood Ratio Test of Packet Losses: Yingying Huangfu (University of Electronic Science and Technology of China, China); Liang Zhou (UESTC, China); Fan Zhou (University of Electronic Science and Technology of China, China)
Prediction-based Cache Mechanism to Accelerate Block Validation for Lightweight Full Nodes: Yukun Niu, Haixing Li, Chi Zhang and Lingbo Wei (University of Science and Technology of China, China)

CSSMA6: Services and Applications

CSSMA6-5 papers

Federated Learning for Energy-Efficient Thermal Comfort Control Service in Smart Buildings: Maysaa Khalil (University of Technology of Troyes, France); Moez Esseghir (Technology University of Troyes & Charles Delaunay Institute, France); Leila Merghem-Boulahia (UTT, France)
ServEx: Service Exchange Among Multiple SCSPs in Sensor-Cloud for IoT Applications: Timam Ghosh (Indian Institute of Technology Kharagpur, India); Arijit Roy (Indian Institute of Technology, Kharagpur, India); Sudip Misra (Indian Institute of Technology-Kharagpur, India); Pascal Bouvry (University of Luxembourg, Luxembourg)
Edge Computing-Assisted Multimedia Service Energy Optimization based on Deep Reinforcement Learning: Han Xiao, Changqiao Xu, Yunxiao Ma and Shujie Yang (Beijing University of Posts and Telecommunications, China); Lujie Zhong (Capital Normal University, China); Gabriel-Miro Muntean (Dublin City University, Ireland)
A Bayesian Game Model for Dynamic Channel Sensing Intervals in Internet of Things: Shama Siddiqui (DHA Suffa University, Pakistan); Anwar Ahmed Khan (Sindh Institute of Management and Technology, Pakistan); Farid Nait-Abdesselam (University of Missouri Kansas City, USA); Indrakshi Dey (Maynooth University, Ireland)
Semi-Deterministic Deployment based Area Coverage Optimization in Mobile WSN: Boualem Adda (Esi, Algeria); Marwane Ayaida (University of Reims Champagne-Ardenne, France); Cyril de Runz (Université de Tours, France)

CT4: Coding (II)

Multilevel Polar-Coded Modulation: Performance Analysis and Code Construction: Bolin Wu, Kai Niu and Jincheng Dai (Beijing University of Posts and Telecommunications, China)
Multi-level Polar Coded Modulation for the Decode-Forward Relay Channel: Heping Wan (the University of Texas at Dallas, USA); Aria Nosratinia (University of Texas, Dallas, USA)
The Complete Affine Automorphism Group of Polar Codes: Yuan Li (University of Chinese Academy of Sciences & Academy of Mathematics and Systems Sciences, CAS, China); Huazi Zhang and Rong Li (Huawei Technologies, Co. Ltd., China); Jun Wang (Huawei Technologies Co. Ltd, China); Wen Tong (Huawei Technologies Canada Co., Ltd., Canada); Guiying Yan and Zhiming Ma (Chinese Academy of Sciences, China)
Optimization-based Block Coordinate Gradient Coding: Qi Wang (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China); Chenglin Li, Junni Zou and Hongkai Xiong (Shanghai Jiao Tong University, China)
Block Orthogonal Sparse Superposition Codes: Jeonghun Park (Kyungpook National University, Korea (South)); Jinseok Choi (Ulsan National Institute of Science and Technology, Korea (South)); Wonjae Shin (Ajou University, Korea (South)); Namyoon Lee (POSTECH, Korea (South))

EH-S4: eHealth - Session 4

Information Theoretic Key Agreement Protocol based on ECG signals: Anna Guglielmi, Alberto Muraro and Giulia Cisotto (University of Padova, Italy); Nicola Laurenti (University of Padova & CNIT, Italy)
PAMI-Anonymous Password Authentication Protocol for Medical Internet of Things: Zhou Yousheng and Yang Luo (Chongqing University of Posts and Telecommunications, China); Mohammad S. Obaidat (University of Jordan, USA); P Vijayakumar (Melpakkam, India); Xiaojun Wang (Dublin City University, Ireland)
Daily Activities Monitoring of Users for Well-Being and Stress Correlation Using Wearable Devices: Francesca Marcello and Virginia Pilloni (University of Cagliari, Italy)
A Wearable Wireless Monitoring System for the Detection of Pulmonary Edema: Katjana Krhac (University of Zagreb, Croatia); Kamran Sayrafian (NIST, USA); Uzay Bengi (Boğaziçi University, Turkey); Sema Dumanli (Bogazici University, Turkey)

GCSN6: Green IoT

GCSN6-5 papers

Efficient Multiple Charging Base Stations Assignment for Far-Field Wireless-Charging in Green IoT: Qiuyu Sha and Xilong Liu (Yunnan University, China); Nirwan Ansari (New Jersey Institute of Technology, USA); Yongxing Jia (Yunnan University, China)
Cloud-Edge Collaboration with Green Scheduling and Deep Learning for Industrial Internet of Things: Yunfei Cui, Heli Zhang, Hong Ji and Xi Li (Beijing University of Posts and Telecommunications, China); Xun Shao (Kitami Institute of Technology, Japan)
Energy Efficient Data Recovery from Corrupted LoRa Frames: Niloofar Yazdani (Aarhus University, Denmark); Nikos Kouvelas and R. R. Venkatesha Prasad (Delft University of Technology, The Netherlands); Daniel E. Lucani (Aarhus University, Denmark)
Green NOMA M2M: Rafael Kaliski (National Taiwan University of Science and Technology, Taiwan)
A Distributed Approach to Energy Efficiency in Seamless IoT Communications: Venkataramani Kumar, Jiahui Yu, Feng Ye and Guru Subramanyam (University of Dayton, USA)

IoTSN 4: Technical Papers

WIAGE: A Gait-based Age Estimation System Using Wireless Signals: Yanjiao Chen (Zhejiang University, China); Runmin Ou (Wuhan University, China); Yangtao Deng (Tsinghua University, China); Xiaoyan Yin (Northwest University, China)
Passive Unsupervised Localization and Tracking using a Multi-Static UWB Radar Network: Mohammud Junaid Bocus and Robert J Piechocki (University of Bristol, United Kingdom (Great Britain))
Channel State Information Compression based on Projection Transformation and Curve Fitting: Meng Gao, Xiaolong Yang, Mu Zhou, Jiacheng Wang and Wei Nie (Chongqing University of Posts and Telecommunications, China)
QoS-aware Routing Optimization Algorithm using Differential Search in SDN-based MANETs: Long Jiang, Weiwei Xia, Feng Yan and Lianfeng Shen (National Mobile Communications Research Laboratory, Southeast University, China); Yinong Zhang (West Aware System Corporation, China); Yingbin Gao (Zgmicro Co., Ltd., China)
Wake-up Control with Kernel Density Estimation for Top-k Query in Wireless Sensor Networks: Hiroyuki Yomo (Kansai University & ATR Adaptive Communications Research Lab., Japan); Yuta Minami, Hitoshi Kawakita and Junya Shiraishi (Kansai University, Japan)

MA: Massive access

Dual-Net for Joint Channel Estimation and Data Recovery in Grant-free Massive Access: Yanna Bai and Wei Chen (Beijing Jiaotong University, China); Yuan Ma (Shenzhen University, China); Ning Wang (Zhengzhou University, China); Bo Ai (Beijing Jiaotong University, China)
Learning-Based Multiplexing of Grant-Based and Grant-Free Heterogeneous Services with Short Packets: Duc Dung Tran (SnT, UniLu, Luxembourg); Shree Krishna Sharma and Symeon Chatzinotas (University of Luxembourg, Luxembourg); Isaac Woungang (Ryerson University, Canada)
Improving the Communication and Computation Efficiency of Split Learning for IoT Applications: Ahmad Ayad and Melvin Renner (RWTH Aachen University, Germany); Anke Schmeink (RWTH Aachen, Germany)
Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems: Vismika Ranasinghe, Nandana Rajatheva and Matti Latva-aho (University of Oulu, Finland)
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems: Heunchul Lee (Ericsson Research & Ericsson, Sweden); Jaeseong Jeong (Ericsson Research, Sweden)

MWN17: Cross Layer Design, Optimization, Mobile Users

Timing Side Information Aided Real-Time Monitoring of Discrete-Event Systems: Siyuan Yu and Wei Chen (Tsinghua University, China); H. Vincent Poor (Princeton University, USA)
Federated Learning with User Mobility in Hierarchical Wireless Networks: Chenyuan Feng (Shenzhen University, China); Howard Yang (ZJU-UIUC Institute & University of Illinois at Urbana Champaign (UIUC), China); Deshun Hu (Harbin Institute of Technology, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore); Zhiwei Zhao (University of Electronic Science and Technology of China, China); Geyong Min (University of Exeter, United Kingdom (Great Britain))
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning: MHD Saria Allahham and Sameh Sorour (Queen's University, Canada); Amr Mohamed (Qatar University, Qatar); Aiman Erbad (Hamad Bin Khalifa University, Qatar); Mohsen Guizani (Qatar University, Qatar)
Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach: Mingyu Li (Harbin Institute of Technology, Shenzhen, China); Changkun Jiang (Shenzhen University, China); Lin Gao (Harbin Institute of Technology (Shenzhen), China); Tong Wang and Yufei Jiang (Harbin Institute of Technology, Shenzhen, China)
Optimizing Federated Edge Learning on Non-IID Data via Neural Architecture Search: Feifei Zhang and Jidong Ge (Nanjing University, China); Chifong Wong (Tsinghua University, China); Sheng Zhang, Chuanyi Li and Bin Luo (Nanjing University, China)

MWN19: Machine Learning and Emerging Technologies

Strategies in Covert Communication with Imperfect Channel State Information: Xi Peng, Jianquan Wang and Sa Xiao (University of Electronic Science and Technology of China, China); WanBin Tang (University of Electronic Science & Technology of China, China)
ECHO: Enhanced Conditional Handover boosted by Trajectory Prediction: Anna Prado and Hansini Vijayaraghavan (Technical University of Munich, Germany); Wolfgang Kellerer (Technische Universität München, Germany)
R-Learning-Based Admission Control for Service Federation in Multi-domain 5G Networks: Bahador Bakhshi (Centre Tecnològic Telecomunicacions Catalunya (CTTC) & Amirkabir University of Technology, Spain); Josep Mangues-Bafalluy (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Jorge Baranda (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Spain)
Learning-based Cache Placement and Content Delivery for Satellite-Terrestrial Integrated Networks: Mingcheng He, Conghao Zhou, Huaqing Wu and Sherman Shen (University of Waterloo, Canada)
Power Control Based on DRL Algorithm for D2D-Enabled Networks: Xuetong Wang (University Of Science and Technology Beijing, China); Haijun Zhang and Keping Long (University of Science and Technology Beijing, China)

MWN6: Federated Learning in Wireless Networks (II)

MWN6-5 papers

FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks: Beibei Li and Yukun Jiang (Sichuan University, China); Wenbin Sun (Northwestern Polytechnical University, China); Weina Niu (University of Electronic Science and Technology of China, China); Peiran Wang (Sichuan University, China)
Beam Management in Ultra-dense Millimeter Wave Network via Federated Learning: Jian Wang (University of Electronic Science and Technology of China, China); Qing Xue (Chongqing University of Posts and Telecommunications, China); Yao Sun (University of Glasgow, United Kingdom (Great Britain)); Gang Feng (University of Electronic Science and Technology of China, China); Tang Lun (Chongqing University of Posts and Telecommunications & Key Lab of Mobile Communication Technology, China); Shaodan Ma (University of Macau, China)
A Privacy-preserved D2D Caching Scheme Underpinned by Blockchain-enabled Federated Learning: Runze Cheng and Yao Sun (University of Glasgow, United Kingdom (Great Britain)); Yijing Liu (University of Electronic Science and Technology of China, China); Le Xia (University of Glasgow, United Kingdom (Great Britain)); Sanshan Sun (University of Electronic Science and Technology of China, China); Muhammad Ali Imran (University of Glasgow, United Kingdom (Great Britain))
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge: Hung T Nguyen (Princeton University, USA); Roberto Morabito (Ericsson Research & Princeton University, Finland); Kwang Taik Kim and Mung Chiang (Purdue University, USA)
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks: Abdullatif Albaseer (Hamad Bin Khalifa University, Qatar); Mohamed M. Abdallah (Hamad Bin Khalifa University (HBKU), Qatar); Ala Al-Fuqaha and Aiman Erbad (Hamad Bin Khalifa University, Qatar)

NGNI-11: Network management and control - 2

Monte Carlo Tree Search for Network Planning for Next Generation Mobile Communication Networks: Linzhi Shen and Shaowei Wang (Nanjing University, China)
MPTCP under Virtual Machine Scheduling Impact: Phuong Ha and Lisong Xu (University of Nebraska-Lincoln, USA)
Concept Drift Detection in Federated Networked Systems: Dimitrios M Manias (Western University, Canada); Ibrahim Shaer (University of Western Ontario, Canada); Li Yang and Abdallah Shami (Western University, Canada)
Balancing Traffic Flow Efficiency with IXP Revenue in Internet Peering: Md Ibrahim Ibne Alam and Koushik Kar (Rensselaer Polytechnic Institute, USA); Elliot Anshelevich (RPI, USA)
Flow-Level Rerouting in RDMA-Enabled Dragonfly Networks: Yuyan Wu and Runzhou Li (University of Science and Technology of China, China); Peilin Hong (Dept. EEIS & USTC, China)

ONS1: Optical Wireless Communications

ONS1-5 papers

Modelling of Multi-Tier Handover in LiFi Networks: Ahmet Burak Ozyurt (The University of Edinburgh, United Kingdom (Great Britain)); Ilenia Tinnirello (University of Palermo, Italy); Wasiu O. Popoola (University of Edinburgh, United Kingdom (Great Britain))
Reliable Optical Receiver for Highly Dynamic Wireless Channels: An Experimental Demonstration: Shenjie Huang (the Uinviersity of Edinburgh, United Kingdom (Great Britain)); Majid Safari (University of Edinburgh, United Kingdom (Great Britain))
Avoiding Inter-Light Sources Interference in Optical Camera Communication: Yukito Onodera (Tokyo University of Agriculture and Technology, Japan); Hiroki Takano and Daisuke Hisano (Osaka University, Japan); Yu Nakayama (Tokyo University of Agriculture and Technology, Japan)
Resource Allocation in Laser-based Optical Wireless Cellular Networks: Ahmad Adnan Qidan (University of Leeds, United Kingdom (Great Britain)); Máximo Morales-Céspedes (Universidad Carlos III de Madrid, Spain); Taisir El-Gorashi and Jaafar Elmirghani (University of Leeds, United Kingdom (Great Britain))

SAC SSC3: Signal Processing for Satellite Systems I

SAC SSC3-4 papers

Preamble detection in NB-IoT via Satellite: a Wavelet based approach: Carla Amatetti (Alma Mater Studiorum University of Bologna, Italy); Matteo Conti, Alessandro Guidotti and Alessandro Vanelli-Coralli (University of Bologna, Italy)
A Novel PSO-Based Pattern Synthesis Method for Conformal Array with Dynamic Range Ratio Constraint: Xin Wang, Dingke Yu, Yuzhang Xi, Wenwei Fang, Mengyue Liu, Bing Lan, Nayu Li, Chunyi Song and Zhiwei Xu (Zhejiang University, China)
Channel Modeling and Signal Transmission for Land Mobile Satellite MIMO: Hongwei Peng, Chenhao Qi and Yang Chen (Southeast University, China); Qian Zhang, Dong Chen and Rui Ding (China Academy of Space Technology, China)
Precoding Design for Joint Positioning and Synchronization in 5G Integrated Satellite Communications: Tingting Chen and Wenjin Wang (Southeast University, China); Rui Ding (China Academy of Space Technology, China); Gonzalo Seco-Granados (Universitat Autonoma de Barcelona, Spain); Li You and Xiqi Gao (Southeast University, China)
Inter-Plane Inter-Satellite Connectivity in LEO Constellations: Beam Switching vs. Beam Steering: Israel Leyva-Mayorga (Aalborg University, Denmark); Maik Röper, Bho Matthiesen and Armin Dekorsy (University of Bremen, Germany); Petar Popovski and Beatriz Soret (Aalborg University, Denmark)

SAC-BD-S3: Data-Driven Communications and Networking

Data-Driven Edge Resource Provisioning for Inter-Dependent Microservices with Dynamic Load: Ruozhou Yu, Szu-Yu Lo and Fangtong Zhou (North Carolina State University, USA); Guoliang Xue (Arizona State University, USA)
Load Balancing and User Association Based on Historical Data: Yuejie Zhang, Kai Sun, Xueliang Gao and Wei Huang (Inner Mongolia University, China); Haijun Zhang (University of Science and Technology Beijing, China)
WiMate: Location-independent Material Identification Based on Commercial WiFi Devices: Yu Gu and Yanan Zhu (Hefei University of Technology, China); Jie Li (Shanghai Jiaotong University, China); Yusheng Ji (National Institute of Informatics, Japan)
Deep Reinforcement Learning Based Big Data Resource Management for 5G/6G Communications: Zhaoyuan Shi and Xie Xian-Zhong (Chongqing University of Posts and Telecommunications, China); Sahil Garg (École de Technologie Supérieure, Canada); Huabing Lu (Chongqing University of Posts and Telecommunications, China); Helin Yang (Nanyang Technological University, Singapore); Zehui Xiong (Singapore University of Technology and Design, Singapore)
Generative Adversarial Classification Network with Application to Network Traffic Classification: Rozhina Ghanavi and Ben Liang (University of Toronto, Canada); Ali Tizghadam (TELUS Communications, Canada)

SPC9: Channel Estimation and Reconstruction

SPC9-5 papers

A Novel Scheme for Joint Estimation of Velocity, Angle-of-arrival and Range in Multipath Environment: Zhiyu Yang, Rui Wang and Yi Jiang (Fudan University, China)
A New Off-grid Channel Estimation Method with Sparse Bayesian Learning for OTFS Systems: Zhiqiang Wei (Friedrich-Alexander University Erlangen-Nuremberg, Germany); Weijie Yuan (Southern University of Science and Technology, China); Shuangyang Li (School of Electrical Engineering and Telecommunications, University of New South Wales, Australia & Xidian University, China); Jinhong Yuan and Derrick Wing Kwan Ng (University of New South Wales, Australia)
Offset Learning based Channel Estimation for IRS-Assisted Indoor Communication: Zhen Chen, Hengbin Tang, Jie Tang and Xiu Yin Zhang (South China University of Technology, China); Qingqing Wu (University of Macau, China); Shi Jin (Southeast University, China); Kai-Kit Wong (University College London, United Kingdom (Great Britain))
Near-Field Channel Estimation for Extremely Large-scale MIMO with Hybrid Precoding: Mingyao Cui and Linglong Dai (Tsinghua University, China)
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems: Xu Shi, Jintao Wang and Guozhi Chen (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)

Thursday, December 9 11:00 - 12:30

Intelligent Reflective Surfaces 1

On the Performance of IRS-Assisted Relay Systems: Diluka A Loku Galappaththige (Southern Illinois University Carbondale, USA); Alan Devkota and Gayan Amarasuriya (Southern Illinois University, USA)
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access: Xiaodan Shao (Zhejiang University, China); Lei Cheng (Shenzhen Research Institute of Big Data, Chinese University of Hong Kong (Shenzhen), Hong Kong); Xiaoming Chen and Chongwen Huang (Zhejiang University, China); Derrick Wing Kwan Ng (University of New South Wales, Australia)
Low-complexity Robust Optimization for an IRS-assisted Multi-Cell Network: Yuhang Jia (Shanghai Jiao Tong University, China); Wuyang Jiang (Shanghai University of Engineering Science, China); Ying Cui (Shanghai Jiaotong University, China)
Deployment Optimization for Meta-material Based Internet of Things: Xu Liu (Peking University, China); Jingzhi Hu (Peking Univerisity, China); Hongliang Zhang (Princeton University, USA); Boya Di and Lingyang Song (Peking University, China)
RIS-Assisted Secure Transmission Exploiting Statistical CSI of Eavesdropper: Cen Liu, Chang Tian and Peixi Liu (Peking University, China)
MmWave MIMO Communication with Semi-Passive RIS: A Low-Complexity Channel Estimation Scheme: Jiangfeng Hu and Haifan Yin (Huazhong University of Science and Technology, China); Emil Björnson (Linköping University, Sweden)

Modelling and Network Performance (1)

Taking two Birds with one k-NN Cache: Damiano Carra (University of Verona, Italy); Giovanni Neglia (Inria, France)
FastKeeper: A Fast Algorithm for Identifying Top-k Real-time Large Flows: Yanshu Wang, Dan Li and Jianping Wu (Tsinghua University, China)
Split the cash from cache-friendly recommendations: Dimitra Tsigkari (EURECOM, France); George Iosifidis (Delft University of Technology, The Netherlands); Thrasyvoulos Spyropoulos (EURECOM, France)
Flow Admission Control Method with Bounded Rationality Using Stochastic Evolutionary Game Theory: Taichi Kojima and Sumiko Miyata (Shibaura Institute of Technology, Japan)
DCM: Delay as Component Model based on Hidden Striping Structure in Mobile Networks: Anan Sawabe, Shinya Yasuda, Yusuke Shinohara and Takanori Iwai (NEC Corporation, Japan); Akihiro Nakao (The University of Tokyo, Japan)

V2X and Resource Management

To DSRC or 5G? A Safety Analysis for Connected and Autonomous Vehicles: Ahmed Elbery, Sameh Sorour and Hossam S. Hassanein (Queen's University, Canada); Akram Bin Sediq (Ericsson, Canada); Hatem Abou-Zeid (University of Calgary, Canada)
Machine Learning-based Trajectory Prediction for VRU Collision Avoidance in V2X Environments: Raúl Parada and Anton Aguilar (Centre Tecnològic de Telecomunicacions de Catalunya, Spain); Jesus Alonso-Zarate (i2CAT Foundation, Spain); Francisco Vázquez-Gallego (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain)
QoS-Aware Reliable Traffic Prediction Model Under Wireless Vehicular Networks: Qin Zhang and Zhiwei Guo (Chongqing Technology and Business University, China); Keping Yu (Waseda University, Japan); Anwer Al-Dulaimi (EXFO Inc., Canada); Wei Wei (Xi'an University of of Technology, China); Mohsen Guizani (Qatar University, Qatar)
AdaptSky: a DRL based Resource Allocation Framework in NOMA-UAV Networks: Ahmed Benfaid and Nadia Adem (University of Tripoli, Libya); Bassem Khalfi (Qualcomm Technologies Inc, USA)
Autonomous Network Traffic Classifier Agent for Autonomic Network Management System: Claire Naiga-Serugunda (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); Riccardo Bassoli (Technische Universität Dresden, Germany); Michael Devetsikiotis (University of New Mexico, USA); Frank H.P. Fitzek (Technische Universität Dresden & ComNets - Communication Networks Group, Germany)

CISS10: Privacy

Towards Privacy-Preserving Online Medical Monitoring with Reverse Skyline Query: Songnian Zhang, Rongxing Lu and Yandong Zheng (University of New Brunswick, Canada)
A Fog-Aided Privacy-Preserving Truth Discovery Framework over Crowdsensed Data Streams: Shaoxian Yuan (University of Science and Technology, China); Bin Zhu, Feng Liu, Jian Li and Kaiping Xue (University of Science and Technology of China, China)
Data Privacy Protection based on Feature Dilution in Cloud Services: Feng Wu (Yunnan University, China); Lei Cui (Deakin University, Australia); Jianan Feng and Liwen Wu (Yunnan University, China); Shao Wen Yao (National Pilot School of Software，YunNan University, China); Shui Yu (University of Technology Sydney, Australia)
Privacy-Preserving Friend Matching for Mobile Social Networks: Yaqing Song (University of Electornic Science and Technology of China, China); ChunXiang Xu and Yuan Zhang (University of Electronic Science and Technology of China, China); Nan Cheng (Xidian University, China)
Privacy-Preserving Truth Discovery for Sparse Data in Mobile Crowdsensing Systems: Feng Liu and Bin Zhu (University of Science and Technology of China, China); Shaoxian Yuan (University of Science and Technology, China); Jian Li and Kaiping Xue (University of Science and Technology of China, China)

CISS4: IoT Security 1

Securing IoT Transactions Against Double-Spending Attacks based on Signaling Game Approach: Hafsa Benaddi (University of IBN-Tofail, Faculty of Sciences, Morocco); Mohammed Jouhari (University of Ibn Tofail, Morocco); Khalil Ibrahimi (University of IBN Tofail & Faculty of Sciences, Morocco); Abderrahim Benslimane (University of Avignon & LIA/CERI, France)
Hijacking Downlink Path Selection in LoRaWAN: Pierluigi Locatelli (University of Rome La Sapienza, Italy); Pietro Spadaccino (La Sapienza Università di Roma, Italy); Francesca Cuomo (University of Rome Sapienza, Italy)
Cost-Efficient Blockchain-Based Access Control for the Internet of Things: Christopher Wiraatmaja, Yuanyu Zhang, Masahiro Sasabe and Shoji Kasahara (Nara Institute of Science and Technology, Japan)
Secure Load Balancing for UAV-Assisted Wireless Networks: Daosen Zhai, Huan Li, Xiao Tang and Dawei Wang (Northwestern Polytechnical University, China); Haotong Cao (The Hong Kong Polytechnic University, China); Peiying Zhang (China University of Petroleum (East China), China)
Delay Aware Secure Computation Offloading in NOMA aided MEC for IoV Networks: Ling He (South China University of Technology, China); Yingyang Chen (Jinan University, China); Miaowen Wen and XiaoMin Qi (South China University of Technology, China); Zahid Iqbal (South China University of Technology, Pakistan); Donghong Cai (Jinan University, China)

CS: Coding and secrecy

Adversarial Neural Networks for Error Correcting Codes: Hung T Nguyen (Princeton University, USA); Steven Bottone (Northrop Grumman Corporation, USA); Kwang Taik Kim and Mung Chiang (Purdue University, USA); H. Vincent Poor (Princeton University, USA)
Machine Learning Aided Path Loss Estimator and Jammer Detector for Heterogeneous Vehicular Networks: Bugra Turan, Ali Uyrus, Osman Nuri Koc, Emrah Kar and Sinem Coleri (Koc University, Turkey)
Interleaver Design and Pairwise Codeword Distance Distribution Enhancement for Turbo Autoencoder: Hikmet Yildiz (Neural Propulsion Systems, USA); Homayoon Hatami (Samsung Semiconductor Inc., USA); Hamid Saber (Samsung Semiconductor, Inc., USA); Yuansheng Cheng (Samsung Semiconductor Inc., USA); Jung Hyun Bae (Samsung Semiconductors Inc., USA)
FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning: Ling-Yuan Chen (National Taiwan University, Taiwan); Te-Chuan Chiu (Academia Sinica, Taiwan); Ai-Chun Pang and Li-Chen Cheng (National Taiwan University, Taiwan)

CSSMA9: Service and Mobility Management

Blockchain and FL-based Network Resource Management for Interactive Immersive Services: Moayad Aloqaily (xAnalytics Inc., Ottawa, Canada); Ouns Bouachir (Zayed University, United Arab Emirates); Ismaeel Al Ridhawi (University of Ottawa, Canada)
RevOPT: An LSTM-based Efficient Caching Strategy for CDN: Hamza Ben-Ammar (La Rochelle Université, L3i, France); Yacine Ghamri-Doudane (University of la Rochelle, France)
Joint Node-Link Algorithm for Embedding Virtual Networks with Conciliation Strategy: Khoa Nguyen, Qiao Lu and Changcheng Huang (Carleton University, Canada)
Node Localization in WSN and IoT Using Harris Hawks Optimization Algorithm: Miloud Mihoubi (University of Djillali Liabes Sidi Bel Abbès & University of Ibn Khaldoun Tiaret, Algeria); Abdellatif Rahmoun (LabRI-SBA Lab., Ecole Superieure en Informatique Sidi Bel Abbes, Algeria); Pascal Lorenz (University of Haute Alsace, France)
Resource Allocation in THz-based Subcarrier Index Modulation Systems for Mobile Users: Mohannad Maher Alzard (Qatar University, Qatar); Saud Althunibat (Al-Hussein Bin Talal University, Jordan); Kenta Umebayashi (Tokyo University of Agriculture and Technology, Japan); Nizar Zorba (Qatar University, Qatar)

CT5: Distributed Computing

Optimization-Based GenQSGD for Federated Edge Learning: Yangchen Li (Shanghai Jiao Tong University, China); Ying Cui (Shanghai Jiaotong University, China); Vincent Lau (Hong Kong University of Science and Technology, Hong Kong)
Over-the-Air Statistical Estimation of Sparse Models: Chuan-Zheng Lee (Stanford University, New Zealand); Leighton Barnes and Wenhao Zhan (Princeton University, USA); Ayfer Özgür (Stanford University, USA)
Federated Learning over Time-Varying Channels: Busra Tegin and Tolga M. Duman (Bilkent University, Turkey)
Blind Federated Learning with Low-Cost Analog-to-Digital Converters: Busra Tegin and Tolga M. Duman (Bilkent University, Turkey)
A Practical Algorithm Design and Evaluation for Heterogeneous Elastic Computing with Stragglers: Nicholas Woolsey (Trabus Technologies, USA); Joerg Kliewer (New Jersey Institute of Technology, USA); Rong-Rong Chen and Mingyue Ji (University of Utah, USA)

EH-S5: eHealth - Session 5

An Efficient eNB Selection and Traffic Scheduling Method for LTE Overlay IoT Communication Networks: Gunasekaran Manogaran (University of California, Davis, USA); Bharat S Rawal (Gannon University, USA)
Collection and Classification of Human Posture Data using Wearable Sensors: Jahnvi Gupta (NIT Hamirpur, India); Nitin Gupta (NIT Hamirpur, Himachal Pradesh, India); Mukesh Kumar (National Institute of Technology Hamirpur, India); Ritwik Duggal (NIT Hamirpur, India); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal)
BePOCH: Improving Federated Learning Performance in Resource-Constrained Computing Devices: Lenart Ibraimi and Mennan Selimi (South East European University, Macedonia, the former Yugoslav Republic of); Felix Freitag (Technical University of Catalonia, Spain)
Enabling Real-Time Dashboards for Anxiety Risk Classification Using the Internet of Things: Shama Siddiqui (DHA Suffa University, Pakistan); Farid Nait-Abdesselam (University of Missouri Kansas City, USA); Anwar Ahmed Khan (Sindh Institute of Management and Technology, Pakistan); Indrakshi Dey (Maynooth University, Ireland)

GCSN7: Green Communication Networks-2

GCSN7-5 papers

Mobile Traffic Forecasting for Green 5G Networks: Nicola Piovesan (Huawei Technologies, France); Antonio De Domenico (Huawei Technologies Co. Ltd., France Research Center, France); David López-Pérez (Huawei Technologies France, France); Harvey Bao (Huawei Technologies, FRC, France); Xinli Geng (Shanghai Research Center, Huawei Technologies, China); Xie Wang (Huawei R&D, China); Mérouane Debbah (Huawei, France)
Peak AoI-Aware Network Lifetime Maximization in Underwater Acoustic Sensor Networks: Mian Guo (Guangdong Polytechnic Normal University, China); Mithun Mukherjee (Nanjing University of Information Science and Technology, P.R. China); Jaime Lloret (Universitat Politecnica de Valencia, Spain); Chun Shan (Guangdong Polytechnic Normal University, China); Quansheng Guan (South China University of Technology, China)
Age of Information Minimization in Energy Harvesting Sensors with Non-Ideal Batteries: Sarthak Agarwal (IIT Dharwad, India); Rajshekhar Vishweshwar Bhat (Indian Institute of Technology Dharwad, India)
Dynamic Ensemble Inference at the Edge: Mattia Merluzzi (CEA-Leti); Alessio Martino (Italian National Research Council, Italy); Francesca Costanzo (University of Rome La Sapienza, Italy); Paolo Di Lorenzo and Sergio Barbarossa (Sapienza University of Rome, Italy)
Statistical Delay and Error-Rate Bounded QoS for SWIPT in CF M-MIMO 6G Wireless Networks Using FBC: Xi Zhang and Jingqing Wang (Texas A&M University, USA); H. Vincent Poor (Princeton University, USA)

GlobecomAerialCom-S3: Globecom 2021 Aerial Communications Session 3

Resource Allocation for Covert Wireless Transmission in UAV Communication Networks: Danyang Wang, Zeyi Zheng, Guangxu He, Peihan Qi, Yue Zhao and Zan Li (Xidian University, China)
Three-Dimensional Trajectory Design for Post-disaster UAV Video Inspection: Yihang Shao and Xiaoli Xu (Southeast University, China)
Dynamic Leader Selection in a Master-Slave Architecture-Based Micro UAV Swarm: Sudip Misra (Indian Institute of Technology-Kharagpur, India); Pallav Kumar Deb (Indian Institute of Technology Kharagpur, India); Kartik Saini (IIT Kharagpur, India)
On The Modelling of UAV-Aided Networks Using NarrowBand-IoT: Silvia Mignardi and Chiara Buratti (University of Bologna, Italy)
Connectivity Analysis of UAV-To-Satellite Communications in Non-Terrestrial Networks: Yalin Liu (Macau University of Science and Technology, Hong Kong); Hong-Ning Dai (Lingnan University, Hong Kong); Ning Zhang (University of Windsor, Canada)

IoTSN 5: Technical Papers

Wi-Adaptor: Fine-grained Domain Adaptation in WiFi-based Activity Recognition: Haoqiang Zhang, Zhipeng Zhou and Wei Gong (University of Science and Technology of China, China)
Fire Detection Using Commodity WiFi Devices: Junye Li (University of New South Wales (UNSW) Sydney, Australia); Aryan Sharma (University of New South Wales, Australia); Deepak Mishra (University of New South Wales (UNSW) Sydney, Australia); Aruna Seneviratne (University of New South Wales, Australia)
Aerial Data Collection with Coordinated UAV and Truck Route Planning in Wireless Sensor Network: Yuchao Zhu (Najing University, China); Shaowei Wang (Nanjing University, China)
Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks: Qianqian Zhang (Hughes Network Systems, USA & Virginia Tech, USA); Walid Saad (Virginia Tech, USA)
Unlabeled Detection via Header-Free Communication in a Wireless Sensor Network: Dylan T Wheeler and Bala Natarajan (Kansas State University, USA)

IoTSN 6: Technical Papers

An Efficient Multi-Model Training Algorithm for Federated Learning: Cong Li, Chunxi Li and Yongxiang Zhao (Beijing Jiaotong University, China); Baoxian Zhang (University of Chinese Academy of Sciences, China); Cheng Li (Memorial University of Newfoundland, Canada)
Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings: Paolo Bellavista, Luca Foschini and Alessio Mora (University of Bologna, Italy)
Deep Reinforcement Learning for URLLC in 5G Mission-Critical Cloud Robotic Application: Tai M. Ho (École de Technologie Supérieure ÉTS, Canada); Nguyen Ti Ti and Kim Khoa Nguyen (University of Quebec, Canada); Mohamed Cheriet (Ecole de technologie superieure (University of Quebec), Canada)
Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks: Sohei Itahara (Kyoto University, Japan); Takayuki Nishio (Tokyo Institute of Technology, Japan); Koji Yamamoto (Kyoto University, Japan)
Long-short Term Prediction for Occlusion Multiple Object Tracking: Zhihong Sun and Jun Chen (Wuhan University, China); Mithun Mukherjee (Nanjing University of Information Science and Technology, China); Weijian Ruan and Chao Liang (Wuhan University, China); Yi Yu (National Institute of Informatics, Japan); Dan Zhang (Wuhan University & School of Computer Science, China)

Loc: AI-based localization techniques

WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels: Ilia Karmanov and Farhad G Zanjani (Qualcomm Technologies, The Netherlands); Ishaque Ashar Kadampot (Qualcomm, USA); Simone Merlin (Qualcomm Technologies, USA); Daniel Dijkman (Qualcomm, The Netherlands)
LTE Device Identification Based on RF Fingerprint with Multi-Channel Convolutional Neural Network: Pengcheng Yin and Linning Peng (Southeast University, China); Junqing Zhang (University of Liverpool, United Kingdom (Great Britain)); Ming Liu (Beijing Jiaotong University & Beijing Key Lab of Transportation Data Analysis and Mining, China); Hua FU and Hu Aiqun (Southeast University, China)
Open Set RF Fingerprinting using Generative Outlier Augmentation: Samurdhi Karunaratne and Samer Hanna (University of California, Los Angeles, USA); Danijela Cabric (University of California Los Angeles, USA)
EPC-TE: Explicit Path Control in Traffic Engineering with Deep Reinforcement Learning: Zeyu Luan and Lie Lu (Tsinghua University, China); Qing Li (Peng Cheng Laboratory, China); Yong Jiang (Graduate School at Shenzhen, Tsinghua University, China)

MWN7: Scheduling, NOMA and reliable networks

MWN7-5 papers

Improved Whale Optimization Algorithm based Resource Scheduling in NOMA THz Networks: Zhiyu Zhang, Haijun Zhang and Keping Long (University of Science and Technology Beijing, China); George K. Karagiannidis (Aristotle University of Thessaloniki, Greece)
Distributed Joint Power and Rate Control for NOMA/OFDMA in 5G and Beyond: Shiva Kazemi, Taskou and Mehdi Rasti (Amirkabir University of Technology, Iran); Pedro Henrique Juliano Henrique Juliano Nardelli (Lappeenranta University of Technology & University of Oulu, Finland); Arthur Sousa de Sena (Lappeenranta University of Technology, Finland)
Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G: Nan Jiang (Toshiba Research Europe Ltd. & Telecommunications Research Lab, United Kingdom (Great Britain)); Adnan Aijaz and Yichao Jin (Toshiba Research Europe Ltd, United Kingdom (Great Britain))
Frame-Level Video Caching and Transmission Scheduling via Stochastic Learning: Ziwei Zheng, Wei Wang, Hangguan Shan and Zhaoyang Zhang (Zhejiang University, China)
Asymptotic Analysis of the Reliability-Latency Tradeoff for URLLC in the High SNR Regime: Yalei Wang and Wei Chen (Tsinghua University, China); H. Vincent Poor (Princeton University, USA)

NGNI-7: Unmanned Aerial Vehicle (UAV) networking

5 papers

Federated Learning for Air Quality Index Prediction Using UAV Swarm Networks: Prateek Chhikara (Thapar Institute of Engineering and Technology, India); Rajkumar Tekchandani (Thapar University, India); Neeraj Kumar (Thapar University Patiala, India); Sudeep Tanwar (Institute of Technology Nirma University Ahmedabad Gujarat, India); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal)
Performance Analysis of Aircraft-to-Ground Communication Networks in Urban Air Mobility (UAM): Tengchan Zeng (Virginia Tech, USA); Omid Semiari (University of Colorado Colorado Springs, USA); Walid Saad (Virginia Tech, USA); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland)
Towards using Deep Reinforcement Learning for Connection Steering in Cellular UAVs: Hamed Hellaoui, Bin Yang and Tarik Taleb (Aalto University, Finland)
Toward Proactive Service Relocation for UAVs in MEC: Oussama Bekkouche (Aalto University, Finland); Somayeh Kianpisheh (Concordia University, Canada); Tarik Taleb (Aalto University, Finland)
Defending against Flooding Attacks in the Internet of Drones Environment: Cong Pu and Pingping Zhu (Marshall University, USA)

ONS2: Visible Light Communications

ONS2-5 papers

Visible Light Communications: A Novel Indoor Network Planning Approach: Mohsen Abedi, Alexis Alfredo Dowhuszko and Risto Wichman (Aalto University, Finland)
Single LED Gbps Visible Light Communication with Probabilistic Shaping: Tilahun Z. Gutema (The University of Edinburgh, United Kingdom (Great Britain)); Wasiu O. Popoola (University of Edinburgh, United Kingdom (Great Britain))
Indoor monitoring system based on ARQ signaling generated by a Visible Light Communication link: Joan Bas (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain); Jose Antonio Ortega and Martí Busquets (UPC, Spain); Alexis Alfredo Dowhuszko (Aalto University, Finland)
Quad-LED OTFS Modulation in Indoor Visible Light Communication Systems: Sujata Sinha (Indian Institute of Science, Bangalore, India); A. Chockalingam (Indian Institute of Science, India)
Physical Layer Security Optimization for MIMO Enabled Visible Light Communication Networks: Zheng Xu and Ming Chen (Southeast University, China); Mingzhe Chen (Princeton University, USA); Zhaohui Yang (University College London, United Kingdom (Great Britain)); Yihan Cang (Southeast University, China); H. Vincent Poor (Princeton University, USA)

SAC MBMSC1: Molecular Communications: Theory and Modeling

SAC MBMSC1-4 papers

Chair: Jorge Torres Gomez (TU Berlin, Germany)

Analysis of Molecular Communications on the Growth Structure of Glioblastoma Multiforme: Hamdan Awan (TSSG, Waterford Institute of Technology, Ireland); Andreani Odysseos and Niovi Nicolaou (University of Cyprus, Cyprus); Sasitharan Balasubramaniam (University of Nebraska-Lincoln, Ireland)
Channel Modeling for Drug Carrier Matrices: Maximilian Schäfer (Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany); Yolanda Salinas (Johannes Kepler University Linz, Austria); Alexander Ruderer (Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany); Franz Enzenhofer and Oliver Brüggemann (Johannes Kepler University Linz, Austria); Robert Schober (Friedrich-Alexander University Erlangen-Nuremberg, Germany); Werner Haselmayr (Johannes Kepler University Linz, Austria)
Optimizing Information Transfer Through Chemical Channels in Molecular Communication: Francesca Ratti (Politecnico di Milano, Italy & Massachusetts Institute of Technology, USA); Colton Harper (University of Nebraska-Lincoln, USA); Maurizio Magarini (Politecnico di Milano, Italy); Massimiliano Pierobon (University of Nebraska-Lincoln, USA)
Spatiotemporal Control of Genetic Circuit with Pulse Generation for Molecular Communication: Dadi Bi and Yansha Deng (King's College London, United Kingdom (Great Britain))

SAC SGC1: Smart Grid Optimization

SAC SGC1-4 papers

Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach: Wei Zhang (Singapore Institute of Technology (SIT), Singapore); Yonggang Wen (Nanyang Technological University, Singapore); Fang Liu (Singapore University of Social Sciences, Singapore)
Optimal Cost Network Design for Bounded Delay Data Transfer from PMU to Control Center: Arunabha Sen (ASU, USA); Sohini Roy, Kaustav Basu, Suli Adeniye, Sandipan Choudhuri and Anamitra Pal (Arizona State University, USA)
Energy Demand Prediction with Optimized Clustering-Based Federated Learning: Dylan Perry and Ning Wang (Rowan University, USA); Shen-Shyang Ho (Rowan University, Glassboro, NJ, USA)
Multi-objective Mobile Charging Scheduling on the Internet of Electric Vehicles: a DRL Approach: Hui Wang, Ran Wang, Hu Xu, Kun Zhu and Changyan Yi (Nanjing University of Aeronautics and Astronautics, China); Dusit Niyato (Nanyang Technological University, Singapore)

SAC SSC4: Signal Processing for Satellite Systems II

SAC SSC4-5 papers

A Novel Deep Learning GPS Anti-spoofing System with DOA Time-series Estimation: Milidu Jayaweera (La Cueva High School, USA)
Blind Symbol Timing and Carrier Phase Estimation for PCMA Satellite Signals via Cyclic Statistics: Andreas Feder (Friedrich-Alexander-University Erlangen Nuremberg, Germany); Martin Hirschbeck (Innovationszentrum Für Telekommunikationstechnik GmbH IZT, Germany); Wolfgang Gerstacker (University of Erlangen-Nuernberg, Germany)
Channel Estimation for mmWave Satellite Communications with Reconfigurable Intelligent Surface: Jinming Zhang and Chenhao Qi (Southeast University, China)
Doppler Shift Estimation in 5G New Radio Non-Terrestrial Networks: Xingqin Lin (Ericsson Research, USA); Zhipeng Lin (Ericsson, China); Stefan Eriksson Lwenmark (Ericsson, Sweden); Johan Rune and Robert Karlsson (Ericsson AB, Sweden)
Exploiting topology awareness for routing in LEO satellite constellations: Jonas W Rabjerg, Israel Leyva-Mayorga, Beatriz Soret and Petar Popovski (Aalborg University, Denmark)

SAC-FDC-1: Physical Layer Full Duplex Techniques

Effect of Non-Resolvable Multipath on Full-Duplex Self-Interference Cancellation: Linsong Du, Ying Liu, Chenxing Li and Youxi Tang (University of Electronic Science and Technology of China, China)
Direction-Assisted Beam Management in Full Duplex Millimeter Wave Massive MIMO Systems: Md Atiqul Islam (University of Illinois at Chicago, USA); George C. Alexandropoulos (University of Athens, Greece); Besma Smida (University of Illinois at Chicago, USA)
Hybrid Beamforming and Combining for Millimeter Wave Full Duplex Massive MIMO Interference Channel: Chandan Kumar Sheemar and Dirk Slock (EURECOM, France)
Hybrid Beamforming for Full-Duplex Enabled Cellular System in the Unlicensed mmWave Band: Xinglong Han, Liu Shengbo and Liqun Fu (Xiamen University, China)

SPC10: Signal Processing for Intelligent Surface Systems-II

Primal Dual PPO Learning Resource Allocation in Indoor IRS-Aided Networks: Haijun Zhang, Xiangnan Liu and Keping Long (University of Science and Technology Beijing, China); H. Vincent Poor (Princeton University, USA)
Max-Min Energy Efficiency for RIS-aided HetNets with Hardware Impairments and Imperfect CSI: Yongjun Xu and Hao Xie (Chongqing University of Posts and Telecommunications, China); Cunhua Pan (Queen Mary University of London, United Kingdom (Great Britain)); Rose Qingyang Hu (Utah State University, USA)
Meta-learning for RIS-assisted Non-Orthogonal Multiple Access Networks: Yixuan Zou and Yuanwei Liu (Queen Mary University of London, United Kingdom (Great Britain)); Kaifeng Han (China Academy of Information and Communications Technology, China); Xiao Liu and Kok Keong Chai (Queen Mary University of London, United Kingdom (Great Britain))
Optimal, Low-Complexity Beamforming for Discrete Phase Reconfigurable Intelligent Surfaces: Juan D Sanchez (Lund University & Sony Research Center, Sweden); Erik L Bengtsson (Sony Mobile, Sweden); Fredrik Rusek and Jose Flordelis (Lund University, Sweden); Kun Zhao (Sony Research Center Lund, Sweden & Aalborg University, Denmark); Fredrik Tufvesson (Lund University, Sweden)
Beamforming and link activation methods for energy efficient RIS-aided transmissions in C-RANs: Jaime Luque (TU Darmstadt, Germany); Tarcisio F. Maciel (Federal University of Ceará, Brazil); Yuri C. B. Silva (Federal University of Ceará & Wireless Telecom Research Group (GTEL), Brazil); Anja Klein (TU Darmstadt, Germany)

Thursday, December 9 2:00 - 3:30

Machine Learning and Edge Computing

Early-exit deep neural networks for distorted images: providing an efficient edge offloading: Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira and Rodrigo S. Couto (Universidade Federal do Rio de Janeiro, Brazil)
CFL-HC: A Coded Federated Learning Framework for Heterogeneous Computing Scenarios: Dong Wang (University of Puerto Rico at Mayaguez, Puerto Rico); Baoqian Wang (San Diego State University, USA); Jinran Zhang (University of North Texas, USA); Kejie Lu (University of Puerto Rico at Mayaguez, Puerto Rico); Junfei Xie (San Diego State University, USA); Yan Wan (University of Texas at Arlington, USA); Shengli Fu (University of North Texas, USA)
Wireless Federated Learning with Limited Communication and Differential Privacy: Amir Sonee (Iran); Stefano Rini (National Yangming Jiaotong University, Taiwan); Yu-Chih Huang (National Yang Ming Chiao Tung University, Taiwan)
Convergence analysis and Design principle for Federated learning in Wireless network: Shuo Wan (Tsinghua University, China); Jiaxun Lu (Huawei Technologies, China); Pingyi Fan (Tsinghua University, China); Yunfeng Shao (Huawei Noah's Ark Lab, China); Chenghui Peng (Huawei Technologies co., China); Khaled Ben Letaief (Hong Kong University of Science and Technology, Hong Kong)

Massive MIMO

Massive MIMO Communication Over HF Skywave Channels: Xianglong Yu, An-An Lu and Xiqi Gao (Southeast University, China); Geoffrey Ye Li (Imperial College London, United Kingdom (Great Britain)); Guoru Ding (Army Engineering University of PLA, China); Cheng-Xiang Wang (Southeast University, China & Purple Mountain Laboratories, China)
FSST: Frequency-Space Signal Transformation of Massive MIMO Channels: Lei Zhu (Shanghaitech University, China); Guoliang Gao (Huanke Road No. 199 & ShanghaiTech University, China); Kai Li (School of Information Science and Technology, ShanghaiTech University, China); Yang Yang (ShanghaiTech University, China); Liantao Wu (Shanghaitech University, China); Fanglei Sun (ShanghaiTech University, China)
Impact of Channel Aging on Massive MIMO Vehicular Networks in Non-isotropic Scattering Scenarios: Huafu Li (Harbin Institute of Technology, China); Liqin Ding (Chalmers University of Technology, Sweden); Yang Wang (Harbin Institute of Technology, China); Peng Wu (Harbin Institute of Technology, Shenzhen, China); ZhenYong Wang (Harbin Institute of Technology & Shenzhen Academy of Aerospace Technology, China)
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO: Hengtao He (The Hong Kong University of Science and Technology, Hong Kong); Hanqing Wang (Huawei Technologies Co., Ltd., China); Xianghao Yu, Jun Zhang, Shenghui Song and Khaled B. Letaief (The Hong Kong University of Science and Technology, Hong Kong)

Social Recommendation

Attention-aware Multi-encoder for Session-based Recommendation: Jin Wei, Linjie Zhang, Xiaoyan Zhu and Jianfeng Ma (Xidian University, China)
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction: Cheng-Han Chou and Bi-Ru Dai (National Taiwan University of Science and Technology, Taiwan)
Social Recommendation System with Multimodal Collaborative Filtering: Yu-Hsin Chung and Yi-Ling Chen (National Taiwan University of Science and Technology, Taiwan)
Rectilinear Range Query Processing on SpatialHadoop Platform: Hsiao-Ping Tsai (National Chung Hsing University, Taiwan); Wei-Te Chu (NCHU, Taiwan)

CISS14: SDN & Computing Security

Game-Theoretic Intrusion Prevention System Deployment for Mobile Edge Computing: Zhan-Lun Chang, Chun-Yen Lee and Chia-Hung Lin (National Taiwan University, Taiwan); Chih-Yu Wang (Academia Sinica, Taiwan); Hung-Yu Wei (National Taiwan University, Taiwan)
Privacy-Preserving Fog-Based Multi-Location Task Allocation in Mobile Crowdsourcing: Yunguo Guan (University of New Brunswick, Canada); Pulei Xiong (National Research Council Canada, Canada); Rongxing Lu (University of New Brunswick, Canada)
CoWatch: Collaborative Prediction of DDoS Attacks in Edge Computing with Distributed SDN: Hongliang Zhou (Harbin Institute of Technology, Shenzhen, China); Xiaohua Jia (City University of Hong Kong, Hong Kong); Jiangang Shu (Peng Cheng Laboratory, China); Lei Zhou (School of Computer Science and Technology, Harbin Institute of Technology, China)
A Novel Distributed Data Backup and Recovery Method for Software Defined-WAN Controllers: Yi Zhang and Changqiao Xu (Beijing University of Posts and Telecommunications, China); Gabriel-Miro Muntean (Dublin City University, Ireland)
NGS: Mitigating DDoS Attacks using SDN-based Network Gate Shield: Mohamad Suhel Dalati, Weizhi Meng and Wei-Yang Chiu (Technical University of Denmark, Denmark)

CISS8: Blockchain

Blockchain-based system for e-voting using Blind Signature protocol: Perez Garcia Julio Cesar (Avignon University, France); Abderrahim Benslimane (University of Avignon & LIA/CERI, France); Samia Boutalbi (University of Avignon, France)
Blockchain-based secure Handover for IoT using Zero-Knowledge Proof protocol: Samia Boutalbi (University of Avignon, France); Perez Garcia Julio Cesar (Avignon University, France); Abderrahim Benslimane (University of Avignon & LIA/CERI, France)
On Strategic Interactions in Blockchain Markets: A Three-stage Stackelberg Game Approach: Jianbo Shao and Yang Xu (Xidian University, China); Jia Liu and Hiroki Takakura (National Institute of Informatics, Japan); Zhao Li and Xuewen Dong (Xidian University, China)
Trust-based gateway selection in a multi-tiers blockchain architecture: Yasmine Bachi (The National Computer Engineering School of Algiers (ESI), Algeria); Abderrezak Rachedi (Laboratoire d'Informatique Gaspard Monge (LIGM UMR8049), France); Djamel Eddine Menacer (Ecole Nationale Supérieure d'Informatique, Algeria)
Vicinity-based Consensus: A Fast in-Neighborhood Convergence Consensus Mechanism for Blockchain: Gabriel R. Carrara (Universidade Federal Fluminense, Brazil); Diogo M. F. Mattos (Universidade Federal Fluminense & MídiaCom, Brazil); Celio Albuquerque (Universidade Federal Fluminense, Brazil)

CSSMA7: Network Virtualization

VAPNIC: A VersAtile shortest path-free VNF Placement using a divide-and-coNquer tactIC: Lahlou Laaziz and Arol Gbeto Fia (Ecole de Technologie Superieure, Canada); Nadjia Kara and Aris Leivadeas (École de Technologie Supérieure, Canada)
Fair Virtual Network Function Scheduling with Deep Reinforcement Learning: Zhenran Kuai and Shaowei Wang (Nanjing University, China)
Engineering and Experimentally Benchmarking a Serverless Edge Computing System: Francisco Carpio, Marc Michalke and Admela Jukan (Technische Universität Braunschweig, Germany)
Placement, Routing and Scheduling Optimizations in Cloud-RAN: Hatem Ibn-khedher (ALTRAN Labs, France); Makhlouf Hadji (IRT System X, France); Ahmed E. Kamal (Iowa State University, USA)
Evaluating Softwarization Gains in Drone Networks: Mohannad Alharthi (Queen's University, Canada); Abd-Elhamid M. Taha (Alfaisal University, Saudi Arabia); Hossam S. Hassanein (Queen's University, Canada)

CT6: Detection and Estimation Theory

A New Channel Estimation Strategy in Intelligent Reflecting Surface Assisted Networks: Rui Wang, Liang Liu, Shuowen Zhang and Changyuan Yu (The Hong Kong Polytechnic University, China)
MSE-Optimaized Linear Transform for Noisy Fronthaul Channels in Distributed MIMO C-RAN: Tadashi Wadayama (Nagoya Institute of Technology, Japan); Satoshi Takabe (Tokyo Institute of Technology, Japan)
Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication: Runnan Liu (Shanghai Jiao Tong University & Hong Kong Polytechnic University, China); Liang Liu (The Hong Kong Polytechnic University, China); Dazhi He and Wenjun Zhang (Shanghai Jiao Tong University, China); Erik G. Larsson (Linköping University, Sweden)
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing: Geethu Joseph, M. Cenk Gursoy and Pramod Varshney (Syracuse University, USA)

FL: Federated learning

GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning: Xinyi Liu, Linghui Zhu and Shutao Xia (Tsinghua University, China); Yong Jiang (Graduate School at Shenzhen, Tsinghua University, China); Xue Yang (Tsinghua University, China)
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning: Chanho Park (POSTECH, Korea (South)); Seunghoon Lee (Pohang University of Science and Technology, Korea (South)); Namyoon Lee (POSTECH, Korea (South))
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent: Anis Elgabli and Chaouki Ben Issaid (University of Oulu, Finland); Amrit Singh Bedi (Army Research Lab, USA); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland); Vaneet Aggarwal (Purdue University, USA)
Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN: Brahim Aamer (INPT, Morocco); Hatim Chergui (CTTC, Spain); Mustapha Benjillali (INPT, Morocco); Christos Verikoukis (UoP & UB, Spain)
Privacy-Preserving Federated Reinforcement Learning for Popularity-Assisted Edge Caching: Chong Zheng (School of Information Science and Engineering, Southeast University, China); Shengheng Liu and Yongming Huang (Southeast University, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore)

GlobecomAerialCom-S4: Globecom 2021 Aerial Communications Session 4

An Optimal Scheme to Recharge Communication Drones: Edgar Arribas (Universidad CEU San Pablo, Spain); Vicent Cholvi (Universitat Jaume I, Spain); Vincenzo Mancuso (IMDEA Networks Institute, Spain)
Fairness-Aware Closed-Form UL-DL Power Allocation for NOMA in UL Heavy UAV Systems: Chen Wang (Harbin Institute of Technology, Shenzhen, China); Xu Zhu (Harbin Institute of Technology, Shenzhen, China & University of Liverpool, United Kingdom (Great Britain)); Yufei Jiang (Harbin Institute of Technology, Shenzhen, China); Haiyong Zeng (Harbin Institute of Technology, China); Fu-Chun Zheng (Harbin Institute of Technology, Shenzhen, China & University of York, United Kingdom (Great Britain))
On the Deployment Problem in Cell-Free UAV Networks: Carles Diaz-Vilor (University of California, Irvine, USA); Angel Lozano (Universitat Pompeu Fabra (UPF), Spain); Hamid Jafarkhani (University of California, Irvine, USA)
Coverage Analysis of Cellular-Connected UAV Communications with 3GPP Antenna and Channel Models: Zhuangzhuang Cui and Ke Guan (Beijing Jiaotong University, China); Ismail Güvenç (North Carolina State University, USA); Claude Oestges (Université Catholique de Louvain, Belgium); Zhangdui Zhong (Beijing Jiaotong University, China)
Dynamic Active-Passive Beamforming for Intelligent Reflecting Surface Aided UAV Communications: Qiaonan Zhu and Yue Xiao (University of Electronic Science and Technology of China, China); Sahil Garg (École de Technologie Supérieure, Canada); Yulan Gao (University of Electronic Science and Technology of China, China); WanBin Tang (University of Electronic Science & Technology of China, China); Zehui Xiong (Singapore University of Technology and Design, Singapore)

IoTSN 7: Technical Papers

Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning: Jernej Hribar (Trinity College Dublin & CONNECT Centre, Ireland); Ryoichi Shinkuma (Shibaura Institute of Technology, Japan); George Iosifidis (Delft University of Technology, The Netherlands); Ivana Dusparic (Trinity College Dublin, Ireland)
A Comparative Study of Deep-Learning-Based Semi-Supervised Device-Free Indoor Localization: Kevin M. Chen and Ronald Y. Chang (Academia Sinica, Taiwan)
Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC: Amine Abouaomar (ENSIAS, Mohammed V University of Rabat, Morocco & Université de Sherbrooke, Canada); Soumaya Cherkaoui (Université de Sherbrooke, Canada); Zoubeir Mlika (University of Sherbrooke, Canada); Abdellatif Kobbane (ENSIAS, Mohammed V University in Rabat, Morocco)
A Novel Deep Reinforcement Learning-based Approach for Task-offloading in Vehicular Networks: S. M. Ahsan Kazmi (Kyung Hee University, Korea (South)); Safa Otoum (University of Ottawa, Canada); Rasheed Hussain (Innopolis University, Russia); Hussein T. Mouftah (University of Ottawa, Canada)
TTDeep: Time-Triggered Scheduling for Real-Time Ethernet via Deep Reinforcement Learning: Hongyu Jia, Jiang Yu, Chunmeng Zhong, Hai Wan and Xibin Zhao (Tsinghua University, China)

IoTSN 8: Technical Papers

Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing: Dong Wang, Kai Liu and Liang Feng (Chongqing University, China); Penglin Dai (Southwest Jiaotong University, China); Weiwei Wu (Southeast University of China, China); Songtao Guo (Chongqing University, China)
Age-of-Task Aware Sampling Rate Optimization in Edge-Assisted Industrial Network Systems: Xiaojing Wen, Cailian Chen and Mingyan Li (Shanghai Jiao Tong University, China); Ling Lyu (Dalian Maritime University, China); Xinping Guan (Shanghai Jiao Tong University, China)
Robust Distributed Intrusion Detection System for Edge of Things: Wassila Lalouani (University of Maryland, Baltimore County, USA); Mohamed Younis (University of Maryland Baltimore County, USA)
Adaptive Edge Caching in UAV-assisted 5G Network: Gaoxiang Wu and Yiming Miao (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)
Collaborative Service Placement for Profit Maximization in Mobile Edge Computing: Guotai Zeng and Hongwei Du (Harbin Institute of Technology, Shenzhen, China); Qiang Ye (Dalhousie University, Canada); Chen Zhang (City University of Hong Kong, Hong Kong)

MWN10: Vehicular Communication Networks

MWN10-5 papers

Scaling A Blockchain System For 5G-based Vehicular Networks Using Heuristic Sharding: Pengwenlong Gu, Dingjie Zhong and Cunqing Hua (Shanghai Jiao Tong University, China); Farid Nait-Abdesselam (University of Missouri Kansas City, USA); Ahmed Serhrouchni (ENST, France); Rida Khatoun (Telecom ParisTech, France)
Communication Delay-Aware Network Topology Adaptation for Cooperative Control of Vehicular Platoons: Jihong Liu (University of Chinese Academy of Sciences & Institute of Computing Technology, China); Ling Liu (Institute of Compting Technology, Chinese Academy of Sciences, China); Yiqing Zhou (Chinese Academy of Science, China)
Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network: Wei Chong Ng (Nanyang Technological University & Alibaba-NTU JRI, Singapore); Wei Yang Bryan Lim (Nanyang Technological University & Alibaba Group, Singapore); Jer Shyuan Ng (Nanyang Technological University & Alibaba-NTU Joint Research Institute, Singapore); Suttinee Sawadsitang (Nanyang Technological University, Singapore); Zehui Xiong (Singapore University of Technology and Design, Singapore); Dusit Niyato (Nanyang Technological University, Singapore)
Time or Reward: Digital-twin Enabled Personalized Vehicle Path Planning: Yilong Hui, Qiangqiang Wang, Nan Cheng, Rui Chen, Xiao Xiao and Tom H. Luan (Xidian University, China)
V2V-Assisted V2I MmWave Communication for Cooperative Perception with Information Value-Based Relay: Peng Wu (Harbin Institute of Technology, Shenzhen, China); Liqin Ding (Chalmers University of Technology, Sweden); Yang Wang (Harbin Institute of Technology, China); Hui Zheng (Beijing Information Science and Technology University, China)

MWN11: Performance Evaluation and LTE Networks

MWN11-5 papers

On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems: Christopher Lehmann and Sreekrishna Pandi (Technische Universität Dresden, Germany); Frank H.P. Fitzek (Technische Universität Dresden & ComNets - Communication Networks Group, Germany); Riccardo Trivisonno and Clarissa Cassales Marquezan (Huawei Technologies, Germany)
A Comprehensive Analysis on Multicast and Unicast Performance and Selection: Chen Shen (Georgetown University, USA); Chunmei Liu (National Institute of Science and Technology, USA); Richard Rouil (National Institute of Standards and Technology, USA)
C-V2X (LTE-V2X) Performance Enhancement Through SAE J3161/1 Probabilistic One-Shot Transmissions: Ralph Gholmieh (Qualcomm Inc., USA); Hamza Ijaz Abbasi (Qualcomm Technologies Inc., USA)
Comparison of performance- and cost-optimal functional splits in 5G and beyond: Alberto Martínez Alba, Steffen Pundt and Wolfgang Kellerer (Technische Universität München, Germany)
A Hierarchical BLE Mesh Network for IoT and Performance Analysis: Weikun Cao, Weiwei Xia, Da Sun, Feng Yan and Lianfeng Shen (National Mobile Communications Research Laboratory, Southeast University, China); Yinong Zhang (West Aware System Corporation, China); Yingbin Gao (Zgmicro Co., Ltd., China)

MWN12: Pervasive Systems and Cellular Networks

MWN12-5 papers

Collaborative D2D Pairing in Cache-Enabled Underlay Cellular Networks: Amina Mseddi (University of Quebec at Montreal, Canada); Wael Jaafar (Carleton University, Canada); Achraf Moussaid (Université du Québec à Montréal, Canada); Halima Elbiaze (University of Quebec at Montreal, Canada); Wessam Ajib (Université du Québec à Montréal, Canada)
DCCP: Deep Convolutional Neural Networks for Cellular Network Positioning: Yu Lin (Didi Chuxing, China); Yao Tong, Qinkun Zhong and Ruipeng Gao (Beijing Jiaotong University, China); Buyi Yin, Lei Liu, Li Ma and Hua Chai (Didi Chuxing, China)
Joint Pushing, Pricing, and Recommendation for Cache-enabled Radio Access Networks: Xianyang Zhang, Haiming Hui and Wei Chen (Tsinghua University, China); Zhu Han (University of Houston, USA)
On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern: Miloud Bagaa (Aalto University, Finland); Karim Boutiba (EURECOM, France); Adlen Ksentini (Eurecom, France)
A Neural Network based Power Allocation Algorithm for D2D Communication in Cellular Networks: Jun Zheng, Shurui Jiang, Wentai Chen, Feifan Zhou and Luyinru Yang (Southeast University, China)

NGNI-5: Vehicle Networking

5 papers

Optimal UAV Hitching on Ground Vehicles: Lihua Ruan (The Chinese University of Hong Kong, Shenzhen, China); Lingjie Duan (Singapore University of Technology and Design (SUTD), Singapore); Jianwei Huang (The Chinese University of Hong Kong, Shenzhen, China)
Selective Federated Learning for On-Road Services in Internet-of-Vehicles: 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)
TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks: Deepanshu Garg and Arvinder Kaur (Chandigarh University, India); Abderrahim Benslimane (University of Avignon & LIA/CERI, France); Rasmeet S Bali (Chandigarh University, Mohali, India); Neeraj Kumar (Thapar University Patiala, India); Sudeep Tanwar (Institute of Technology Nirma University Ahmedabad Gujarat, India); Joel J. P. C. Rodrigues (Senac Fac of Ceará, Brazil & Instituto de Telecomunicações, Portugal); Mohammad S. Obaidat (University of Jordan, USA)
Resource Allocation for Low-Latency NOMA-Enabled Vehicle Platoon-Based V2X System: Huiyi Ding (The University of Hong Kong, Hong Kong); Ka-Cheong Leung (Harbin Institute of Technology, Shenzhen, China)
High Altitude Platform Station (HAPS) Assisted Computing for Intelligent Transportation Systems: Qiqi Ren (Xidian University, China); Omid Abbasi (Carleton University, Canada); Gunes Karabulut Kurt (Ecole Polytechnique de Montreal, Canada); Halim Yanikomeroglu (Carleton University, Canada); Jian Chen (Xidian University, China)

NGNI-6: Software Defined Networking (SDN)

5 papers

CSH: Towards More Accurate Flow Measurement with Counter-Sketch-Hybrid Algorithm: Zijun Hang, Yongjie Wang and Shuguang Huang (National University of Defense Technology, China)
QCell: Self-optimization of Softwarized 5G Networks through Deep Q-learning: Bernardo Casasole (Politecnico di Milano, Italy); Leonardo Bonati and Salvatore D'Oro (Northeastern University, USA); Stefano Basagni (Northeastern University & The Institute for the Wireless Internet of Things, USA); Antonio Capone (Politecnico di Milano, Italy); Tommaso Melodia (Northeastern University, USA)
Towards Scalable and Expressive Stream Packet Processing: Alessandra Fais, Giuseppe Lettieri, Gregorio Procissi and Stefano Giordano (University of Pisa, Italy)
Dynamic Router's Buffer Sizing using Passive Measurements and P4 Programmable Switches: Elie F. Kfoury and Jorge Crichigno (University of South Carolina, USA); Gautam Srivastava (Brandon University & China Medical University, Canada); Elias Bou-Harb (The Cyber Center For Security and Analytics, University of Texas at San Antonio, USA)
Enabling In-band Network Telemetry in Software-based Virtual Switches: Yan Zheng (Purple Mountain Laboratories, China); Tian Pan and Xingchen Lin (Beijing University of Posts and Telecommunications, China); Yan Zhang (Purple Mountain Laboratories, China); Houtian Wang (China Academy of Space Technology, China); Tao Huang and Yunjie Liu (Beijing University of Posts and Telecommunications, China)

ONS3: Optical Transmission Systems and Processing

ONS3-5 papers

A Real-Time OSNR Penalty Estimator Engine in the Presence of Cascaded WSS Filters: Jason M Hoff (The University of Texas at Dallas, USA); Tianliang Zhang (University of Texas at Dallas, USA); Andrea Fumagalli (UTD, USA); Mustafa Al-Qadi (The University of Kansas, USA); Rongqing Hui (University of Kansas, USA)
Machine Learning Driven Model for Software Management of Photonics Switching Systems: Ihtesham Khan, Lorenzo Tunesi and Muhammad Umar Masood (Politecnico di Torino, Italy); Enrico Ghillino (Synopsys, Inc, USA); Paolo Bardella, Andrea Carena and Vittorio Curri (Politecnico di Torino, Italy)
DeepDRAMA: Deep Reinforcement Learning-based Disaster Recovery with Mitigation Awareness in EONs: Rujia Zou and Nathaniel Bury (George Washington University, USA); Hiroshi Hasegawa (Nagoya University, Japan); Masahiko Jinno (Kagawa University, Japan); Suresh Subramaniam (George Washington University, USA)
Dual-Hop Full-Duplex DF Relaying with Parallel Hybrid RF/FSO Links: Michalis P. Ninos, Priyadarshi Mukherjee, Constantinos Psomas and Ioannis Krikidis (University of Cyprus, Cyprus)

SAC-BD-S4: Big Data and Security

Towards Lightweight and Efficient Distributed Intrusion Detection Framework: Shuai Yuan, Hongwei Li, Rui Zhang, Meng Hao and Yiran Li (University of Electronic Science and Technology of China, China); Rongxing Lu (University of New Brunswick, Canada)
Secure Data Sharing in UAV-assisted Crowdsensing: Integration of Blockchain and Reputation Incentive: Liang Xie and Zhou Su (Shanghai University, China); Nan Chen (Tennessee Tech University, USA); Qichao Xu (Shanghai University, China)
Multi-hop Graph Embedding for Botnet Detection: 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)
Active Learning Under Malicious Mislabeling and Poisoning Attacks: Jing Lin (University of South Florida, USA); Ryan Luley (US Air Force Research Laboratory, USA); Kaiqi Xiong (University of South Florida, USA)
Detecting Cryptojacking Traffic Based on Network Behavior Features: Xiaoyan Hu, Zhuozhuo Shu, Xiaoyi Song, Guang Cheng and Jian Gong (Southeast University, China)

SAC-QCC: Quantum Communications & Computing

QuantumFed: A Federated Learning Framework for Collaborative Quantum Training: Qi Xia (The College of William and Mary, USA); Qun Li (William & Mary, USA)
A Variational Quantum Algorithm for Ordered SVD: Ju-Young Ryu (KAIST, Korea (South)); Jiwon Jung, Jaeyoung Lee and Youngjune Gwon (AI Research Center, Samsung SDS, Korea (South)); June-Koo Kevin Rhee (KAIST, Korea (South))
From the Environment-Assisted Paradigm to the Quantum Switch: Seid Koudia (Università degli studi di Napoli Federico II, Italy); Angela Sara Cacciapuoti (University of Naples Federico II, Italy); Marcello Caleffi (University of Naples "Federico II", Italy)
Enhancing continuous variable quantum teleportation using non-Gaussian resources: Eduardo Villasenor and Robert Malaney (University of New South Wales, Australia)
Decomposition of Clifford Gates: Tefjol Pllaha (University of Nebraska-Lincoln, USA); Kalle Volanto and Olav Tirkkonen (Aalto University, Finland)
Private Set Intersection with Delegated Blind Quantum Computing: Michele Amoretti (University of Parma, Italy)

SPC8: Signal Processing for Massive MIMO

SPC8-5 papers

Dynamic Metasurface Antennas for Energy Efficient Uplink Massive MIMO Communications: Jie Xu and Li You (Southeast University, China); George C. Alexandropoulos (University of Athens, Greece); Jue Wang (Nantong University, China); Wenjin Wang and Xiqi Gao (Southeast University, China)
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups: Tung T. Vu and Hien Ngo (Queen's University Belfast, United Kingdom (Great Britain)); Duy T Ngo (The University of Newcastle, Australia); Minh N. Dao (Federation University Australia, Australia); Erik G. Larsson (Linköping University, Sweden)
RIS-Assisted Massive MIMO with Multi-Specular Spatially Correlated Fading: Özlem Tuğfe Demir (KTH Royal Institute of Technology, Sweden); Emil Björnson (Linköping University, Sweden)
Secure Transmission Using Angle Reciprocity for TDD/FDD Massive MIMO Systems: Yijie Ou and Qinghe Du (Xi'an Jiaotong University, China)
Topological Pilot Assignment in Cell-Free Massive MIMO Networks: Han Yu and Xinping Yi (University of Liverpool, United Kingdom (Great Britain)); Giuseppe Caire (Technische Universität Berlin, Germany)

Sys: System design

An LSTM-based Approach for Holdover Clock Disciplining in IEEE 1588 PTP Applications: Rodrigo Dutra (Universidade Federal do Pará, Brazil); Igor Freire (Federal University of Pará, Brazil); Igor Almeida (Ericsson, Brazil); Aldebaro Klautau (Universidade Federal do Para, Brazil); Eduardo Medeiros (Ericsson, Sweden); Pedro Bemerguy (Federal University of Pará, Brazil)
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling: Frank Po-Chen Lin, Seyyedali Hosseinalipour and Sheikh Shams Azam (Purdue University, USA); Christopher G. Brinton (Purdue University & Zoomi Inc., USA); Nicolò Michelusi (Arizona State University, USA)
An Unsupervised Learning-Based Approach for Symbol-Level-Precoding: Abdullahi Mohammad (University College London & Ahmadu Bello University, United Kingdom (Great Britain)); Christos Masouros and Yiannis Andreopoulos (University College London, United Kingdom (Great Britain))
CE-SGD: Communication-Efficient Distributed Machine Learning: Zeyi Tao (William and Mary, USA); Qi Xia (The College of William and Mary, USA); Qun Li (William & Mary, USA); Songqing Chen (George Mason University, USA)
Learning via Denoising Autoencoder on 5G NR Phase Noise Estimation: Mu-Sheng Lin (Samsung Semiconductor Inc., USA); Hyukjoon Kwon (Samsung Semiconductor, Inc., USA)

Symposia: Thursday, 9 December

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Thursday, December 9

Thursday, December 9 9:00 - 10:30

Cloud and Edge Computing II

Intelligent Resource Allocation

Modelling and Network Performance (2)

Power Saving and Energy Management

Social Network Analysis I

Wireless Communications

BM: Beamforming

CISS12: Wireless Networks Security

CSSMA6: Services and Applications

CT4: Coding (II)

EH-S4: eHealth - Session 4

GCSN6: Green IoT

IoTSN 4: Technical Papers

MA: Massive access

MWN17: Cross Layer Design, Optimization, Mobile Users

MWN19: Machine Learning and Emerging Technologies

MWN6: Federated Learning in Wireless Networks (II)

NGNI-11: Network management and control - 2

ONS1: Optical Wireless Communications

SAC SSC3: Signal Processing for Satellite Systems I

SAC-BD-S3: Data-Driven Communications and Networking

SPC9: Channel Estimation and Reconstruction

Thursday, December 9 11:00 - 12:30

Intelligent Reflective Surfaces 1

Modelling and Network Performance (1)

V2X and Resource Management

CISS10: Privacy

CISS4: IoT Security 1

CS: Coding and secrecy

CSSMA9: Service and Mobility Management

CT5: Distributed Computing

EH-S5: eHealth - Session 5

GCSN7: Green Communication Networks-2

GlobecomAerialCom-S3: Globecom 2021 Aerial Communications Session 3

IoTSN 5: Technical Papers

IoTSN 6: Technical Papers

Loc: AI-based localization techniques

MWN7: Scheduling, NOMA and reliable networks

NGNI-7: Unmanned Aerial Vehicle (UAV) networking

ONS2: Visible Light Communications

SAC MBMSC1: Molecular Communications: Theory and Modeling

SAC SGC1: Smart Grid Optimization

SAC SSC4: Signal Processing for Satellite Systems II

SAC-FDC-1: Physical Layer Full Duplex Techniques

SPC10: Signal Processing for Intelligent Surface Systems-II

Thursday, December 9 2:00 - 3:30

Machine Learning and Edge Computing

Massive MIMO

Social Recommendation

CISS14: SDN & Computing Security

CISS8: Blockchain

CSSMA7: Network Virtualization

CT6: Detection and Estimation Theory

FL: Federated learning

GlobecomAerialCom-S4: Globecom 2021 Aerial Communications Session 4

IoTSN 7: Technical Papers

IoTSN 8: Technical Papers

MWN10: Vehicular Communication Networks

MWN11: Performance Evaluation and LTE Networks

MWN12: Pervasive Systems and Cellular Networks

NGNI-5: Vehicle Networking

NGNI-6: Software Defined Networking (SDN)

ONS3: Optical Transmission Systems and Processing

SAC-BD-S4: Big Data and Security

SAC-QCC: Quantum Communications & Computing

SPC8: Signal Processing for Massive MIMO

Sys: System design

Patrons