IEEE Global Communications Conference
7–11 December 2021 // Madrid, Spain // Hybrid: In-Person and Virtual Conference
Connecting Cultures around the Globe

8 December: In-Person Technical Program

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Communication Theory
9:00-10:30 CET
Room: N109
Chair: Vincent Chan

Individual Correlation Properties and Structural Features of Periodic Complementary Sequences
Igor Gepko

FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
Caleb Terrill; Linfang Wang; Sean Chen; Chester Hulse; Calvin Kuo; Richard Wesel; Dariush Divsalar

Algebraic Design of a Class of Rate 1/3 Quasi-Cyclic LDPC Codes
R. Michael Tanner

Nonlinear Distortion in Distributed Massive MIMO Systems: A Indoor Channel Measurement Analysis
Bin Liu; Andrea P Guevara; Liesbet Van der Perre; Sofie Pollin

IGRAND: decode any product code
Kevin Galligan; Amit Solomon; Arslan Riaz; Muriel Médard; Rabia T Yazicigil; Ken R. Duffy

Green Communication Networks
11:00 – 12:30 CET
Room: N109
Chair: Han Hu

MEC and Blockchain-Enabled Energy-Efficient Internet of Vehicles with A3C Approach
Xinyu Ye; Meng Li; F. Richard Yu; Pengbo Si; Zhuwei Wang; Yanhua Zhang

Energy Sharing based Cooperative Dual-powered Green Cellular Networks
Ashutosh Balakrishnan; Swades De; Li-Chun Wang

Dynamic Task Offloading in MEC-Enabled IoT Networks: A Hybrid DDPG-D3QN Approach
Han Hu; Dingguo Wu; Fuhui Zhou; Shi Jin; Rose Qingyang Hu

Mobile Traffic Forecasting for Green 5G Networks
Nicola Piovesan; Antonio De Domenico; David López-Pérez; Harvey Bao; Xinli Geng; Xie Wang; Mérouane Debbah

Dynamic Ensemble Inference at the Edge
Mattia Merluzzi; Alessio Martino; Francesca Costanzo; Paolo Di Lorenzo; Sergio Barbarossa

Federated learning
9:00-10:30 CET
Room: N108
Chair: Stefania Bartoletti

Convergence analysis and Design principle for Federated learning in Wireless network
Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao; Chenghui Peng; Khaled Letaief

Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN
Brahim Aamer; Hatim Chergui; Mustapha Benjillali; Christos Verikoukis

Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
Chanho Park; Seunghoon Lee; Namyoon Lee

Concept Drift Detection in Federated Networked Systems
Dimitrios M Manias; Ibrahim Shaer; Li Yang; Abdallah Shami

Machine Learning Driven Model for Software Management of Photonics Switching Systems
Ihtesham Khan; Lorenzo Tunesi; Muhammad Umar Masood; Enrico Ghillino; Paolo Bardella; Andrea Carena; Vittorio Curri

9:00-10:30 CET
Room: N111
Chair: Alessio Mora

Receiving Colliding LoRa Packets with Hard Information Iterative Decoding
Raejoon Jung; Philip Levis

Optimal Deployment of Fog Nodes, Microservices and SDN Controllers in Time-Strict IoT Scenarios
Juan Luis Herrera; Jaime Galán-Jiménez; Paolo Bellavista; Luca Foschini; José García-Alonso; Juan Manuel Murillo Rodriguez; Javier Berrocal

An Analysis of Amazon Echo's Network Behavior
Jan Janak; Teresa Tseng; Aliza Isaacs; Henning Schulzrinne

Exploring Tradeoffs between Energy Consumption and Network Performance in Cellular-IoT: a Survey
Nicholas D Accurso; Nicholas Mastronarde; Filippo Malandra

Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings
Paolo Bellavista; Luca Foschini; Alessio Mora

Resource allocation I
9:00-10:30 CET
Room: N110

Learning Probing Beams for Fast mmWave Beam Alignment
Yuqiang Heng; Jianhua Mo; Jeffrey Andrews

Learning-Based Multiplexing of Grant-Based and Grant-Free Heterogeneous Services with Short Packets
Duc Dung Tran; Shree Krishna Sharma; Symeon Chatzinotas; Isaac Woungang

Improving the Communication and Computation Efficiency of Split Learning for IoT Applications
Ahmad Ayad; Melvin Renner; Anke Schmeink

Fundamental limits of over-the-air optimization: Are analog schemes optimal?
Shubham K Jha; Prathamesh Mayekar; Himanshu Tyagi

Hierarchical Beamforming in Random Access Channels
Adrian Agustin; Josep Vidal; Margarita Cabrera-Bean

Aerial Communications 1
11:00-12:30 CET
Room: N108
Chair: Omid Esrafilian

Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Omid Esrafilian; Harald Bayerlein; David Gesbert

Fairness-Aware Closed-Form UL-DL Power Allocation for NOMA in UL Heavy UAV Systems
Chen Wang; Xu Zhu; Yufei Jiang; Haiyong Zeng; Fu-Chun Zheng

Dynamic Active-Passive Beamforming for Intelligent Reflecting Surface Aided UAV Communications
Qiaonan Zhu; Yue Xiao; Sahil Garg; Yulan Gao; WanBin Tang; Zehui Xiong

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
Ilyes Mrad; Lutfi Samara; Alaa Awad Abdellatif; Abubakr Al-Abbasi; Ridha Hamila; Aiman Erbad

IoT Security
11:00-12:30 CET
Room: N110
Chair: Domenico Scotece

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Yusuke Koda; Jihong Park; Mehdi Bennis; Praneeth Vepakomma; Ramesh Raskar

Hijacking Downlink Path Selection in LoRaWAN
Pierluigi Locatelli; Pietro Spadaccino; Francesca Cuomo

Secrecy Rate Maximization with Gridded UAV Swarm Jamming for passive Eavesdropping
Christantus O Nnamani; Muhammad R. A. Khandaker; Mathini Sellathurai

FedEqual: Defending Model Poisoning Attacks in Heterogeneous Federated Learning
Ling-Yuan Chen; Te-Chuan Chiu; Ai-Chun Pang; Li-Chen Cheng

Machine Learning and Emerging Network Technologies
14:00-15:30 CET
Room: N108
Chair: Israel Leyva Mayorga

Transmission policy design for critical services subject to reliability versus age minimization
Ayat Zaki-Hindi; Salah Eddine Elayoubi; Tijani Chahed

ECHO: Enhanced Conditional Handover boosted by Trajectory Prediction
Anna Prado; Hansini Vijayaraghavan; Wolfgang Kellerer

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Abdullatif Albaseer; Mohamed M. Abdallah; Ala Al-Fuqaha; Aiman Erbad

On Velocity-based Association Policies for Multi-tier 5G Wireless Networks
Pierre Popineau; Sanket Sanjay Kalamkar; Francois Baccelli

On the Performance of Blockchain-enabled RAN-as-a-service in Beyond 5G Networks
Francesc Wilhelmi; Lorenza Giupponi

14:00-15:30 CET
Room: N109
Chair: Adrian Agustin

Rotatable URAs for Line-of-Sight MIMO Transmission
Heedong Do; Namyoon Lee; Angel Lozano

Machine Learning Assisted Phase-less Millimeter-Wave Beam Alignment in Multipath Channels
Benjamin W Domae; Ruifu Li; Danijela Cabric

Analog Eigen-Beamforming for mmWave Systems: Performance under practical constraints
Corentin Fonteneau; Matthieu Crussière; Bruno Jahan

Low-complexity Multicast Beamforming for Multi-stream Multi-group Communications
Hamidreza Bakhshzad Mahmoodi; Bikshapathi Gouda; MohammadJavad Salehi; Antti Tölli

Network Performance Evaluation
14:00-15:30 CET
Room: N111

Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
MHD Saria Allahham; Sameh Sorour; Amr Mohamed; Aiman Erbad; Mohsen Guizani

On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems
Christopher Lehmann; Sreekrishna Pandi; Frank H.P. Fitzek; Riccardo Trivisonno; Clarissa Cassales Marquezan

Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach
Mingyu Li; Changkun Jiang; Lin Gao; Tong Wang; Yufei Jiang

Comparison of performance- and cost-optimal functional splits in 5G and beyond
Alberto Martínez Alba; Steffen Pundt; Wolfgang Kellerer

Radio Link Failure Prediction in 5G Networks
Karim Boutiba; Miloud Bagaa; Adlen Ksentini

Traffic management
14:00-15:30 CET
Room: N110

Deep Learning-based QoS Prediction with Innate Knowledge of the Radio Access Network
Jose Perdomo; Apostolos Kousaridas; Chan Zhou; Jose F Monserrat

Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines
Benoît-Marie Robaglia; Apostolos Destounis; Marceau Coupechoux; Dimitrios Tsilimantos

Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
Eike Manuel Bansbach; Victor Eliachevitch; Laurent Schmalen

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
Fabio Saggese; Luca Pasqualini; Marco Moretti; Andrea Abrardo

SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning
Fabien Meslet-Millet; Emmanuel Chaput; Sandrine Mouysset