The 3rd IEEE INFOCOM Workshop on Pervasive Network Intelligence for 6G Networks (IEEE PerAI-6G 2024)
20 May, 2024 ● 08:00 – 18:00 ● Room: Regency C/D
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The sixth generation (6G) networks are expected to support increasingly heterogeneous networking paradigms, adapt to dynamic network environments, and provide diversified intelligent services with stringent quality of service (QoS) requirements. To this end, artificial intelligence (AI) will penetrate and be integrated into every facet of the network, including end users, network edge, and cloud, resulting in pervasive network intelligence. The pervasive network intelligence can be enabled from two perspectives: AI for networking and networking for AI. The former is to leverage and customize AI-based methods for complex 6G network management, while the latter is to design and optimize 6G networks to facilitate service-oriented AI applications (i.e., AI services). However, realizing pervasive network intelligence confronts different challenges. It should support various AI services with distinct QoS requirements in terms of latency, reliability, accuracy, etc. In addition, the service demands exhibit spatial and temporal dynamics due to traffic burstiness and user mobility. It is of paramount importance to improve the utilization of heterogeneous sensing, communication, computing, storage, and control resources for determining fine-grained user-centric networking solutions.
The 3rd IEEE INFOCOM PerAI-6G Workshop can serve as a forum for researchers from academia, government, and industries, to exchange ideas, present new results, and provide future visions on these topics.
Steering Committee:
Nirwan Ansari (New Jersey Institute of Technology, USA)
Yang Xiao (University of Alabama, USA)
General Co-chairs:
Ning Zhang (University of Windsor, Canada)
Tao Han (New Jersey Institute of Technology, USA)
Yu Cheng (Illinois Institute of Technology, USA)
Technical Program Co-chairs:
Wen Wu (Peng Cheng Laboratory, China)
Zubair Fadlullah (Western University, Canada)
Peng Yang (HUST, China)
Ruozhou Yu (North Carolina State University, USA)
Shaohua Wu (HITSZ, China)
08:00 – 08:05
Opening Session
Chairs: Ning Zhang and Wen Wu
08:05 - 08:40
Keynote Session 1
Xiaodong Lin (University of Guelph, Canada)
Title: Network Intelligence Meets Security and Privacy
08:40 - 09:15
Keynote Session 2
Jun Cai (Concordia University, Canada)
Title: Human Digital Twin (HDT) for Human-Centric Services: Construction, Deployment, and Application
09:20 - 11:00
Session 1: Distributed learning in 6G
Designing Robust 6G Networks with Bimodal Distribution for Decentralized Federated Learning
Xu Wang and Yuanzhu Chen (Queen's University, Canada); Octavia A. Dobre (Memorial University, Canada)
Distributed Link Heterogeneity Exploitation for Attention-Weighted Robust Federated Learning in 6G Networks
Qiaomei Han (Western Univiersity, Canada); Xianbin Wang (Western University, Canada); Weiming Shen (Huazhong University of Science and Technology, China)
Decentralized Federated Learning Under Free-riders: Credibility Analysis
Long Zhang, Shuang Qin, Gang Feng and Youkun Peng (University of Electronic Science and Technology of China, China)
Two-Timescale Energy Optimization for Wireless Federated Learning
Jinhao Ouyang and Yuan Liu (South China University of Technology, China); Hang Liu (Cornell University, USA)
Multi-User Interaction Experience Optimization in the Metaverse
Zhongxin Cao, Wenqian Zhang and Bo Zhang (Zhengzhou University, China); Rui Yin (Zhejiang University, China); Celimuge Wu (The University of Electro-Communications, Japan); Xianfu Chen (VTT Technical Research Centre of Finland, Finland)
11:00 - 11:10
Coffee break
11:10 - 12:30
Session 2: Reinforcement learning for 6G
The Curse of (Too Much) Choice: Handling combinatorial action spaces in slice orchestration problems using DQN with coordinated branches
Pavlos Doanis (EURECOM, France); Thrasyvoulos Spyropoulos (EURECOM & EURECOM, France)
Lyapunov-Based MADRL Policy in Wireless Powered MEC Assisted Monitoring Systems
Xinying Liu and Yuhan Yi (Donghua University, China); Wenqian Zhang (Shanghai Maritime University, China); Guanglin Zhang (Donghua University, China)
Routing Algorithm Design Based on Deep Reinforcement Learning and GNN
Kaiyuan Zhao and Zinan Zhao (Harbin Institute of Technology, China); ZhenYong Wang (Harbin Institute of Technology & Shenzhen Academy of Aerospace Technology, China); Hongjiang Zhang (China Aerospace Science and Technology Innovation Institute, China)
Multi-Agent DRL-based Deadline-Aware Routing for Deterministic Wide-Area Networks
Jie Ren, Dong Yang and Weiting Zhang (Beijing Jiaotong University, China); Mingyang Chen (University College London, United Kingdom (Great Britain)); Hongke Zhang (Beijing Jiaotong University, China)
12:30 - 14:00
Lunch
14:00 - 16:00
Session 3: Resource management in 6G
Network Slicing for Edge-Cloud Orchestrated Networks via Online Convex Optimization
Kasra Khalafi and Ning Lu (Queen's University, Canada)
Interference Graph Based Spectrum Allocation for Blockchain-enabled CBRS System
Jingwen Pan, Wei Wang, Kexin Chen and Xiang Shao (Nanjing University of Aeronautics and Astronautics, China); Shuo Wang (Sony (China) Limited, China); Chen Sun (Sony China Research Laboratory Beijing, China)
Orchestrating and Scheduling System for Workflows in Heterogeneous and Dynamic Environment
Wenliang Liang (China); Hao Lin (Huawei, China); Haihua Shen (Huawei Technologies Co., Ltd., China); Enbo Wang (Huawei, China)
Freshness-Aware Cache Update with Time-Varying Popularities in Edge Networks
Tao Chenhui and Jingjing Luo (Harbin Institute of Technology, Shenzhen, China); Fu-Chun Zheng (Harbin Institute of Technology, Shenzhen, China & University of York, United Kingdom (Great Britain)); Lin Gao (Harbin Institute of Technology, Shenzhen, China)
Energy-Efficient Task Offloading in UAV-RIS-Assisted Mobile Edge Computing with NOMA
Mingyang Zhang (Shanghai University, China); Zhou Su (Xi'an Jiaotong University, China); Qichao Xu and Yihao Qi (Shanghai University, China); Dongfeng Fang (California Polytechnic State University San Luis Obispo, USA)
Scalable Blockchain-empowered Distributed Computation Offloading: A Deep Reinforcement Learning Approach
Feng Xu, Zitong Zhao and Lei Liu (Xidian University, China); Xiaoming Yuan (Northeastern University, China); Qingqi Pei (Xidian University, China)
16:00 - 16:05
Coffee Break
16:05 - 18:00
Session 4: AI-assisted 6G communication
Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
Peigen Ye (Sun Yat-Sen University, China); Yaping Sun (Pengcheng Laboratory, China); Shumin Yao and Hao Chen (Peng Cheng Laboratory, China); Xiaodong Xu (Beijing University of Posts and Telecommunications, China); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen & CUHKSZ-FNii, China)
Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method
Zhihao Zhu (Beijing University of Posts and Telecommunications, China); Jiafan He (Nanjing Research Institute of Electronics Engineering, China); Luyang Hou, Lianming Xu, Wendi Zhu and Li Wang (Beijing University of Posts and Telecommunications, China)
Semantic-Empowered Utility Loss of Information Transmission Policy in Satellite-Integrated Internet
Jianhao Huang (Harbin Institute of Technology Shenzhen, China); Jian Jiao (Harbin Institute of Technology - Shenzhen, China); Ye Wang (Peng Cheng Laboratory, China); Rongxing Lu (University of New Brunswick, Canada); Qinyu Zhang (Shenzhen Graduate School, Harbin Institute of Technology, China)
Achieving Reliable and Intelligent Control-Assisted Transmission for Satellite Communications
Chenxi Li and Zan Li (Xidian University, China); Chuan Zhang (Beijing Institute of Technology, China); Nan Cheng, Lei Guan and Danyang Wang (Xidian University, China)
Adaptive Cooperation Rate-Splitting Multiple Access for Integrated Satellite-Terrestrial Network
Zhiqiang Li and Shuai Han (Harbin Institute of Technology, China); Cheng Li (Simon Fraser University, China)
An Efficient Lightweight Satellite Image Classification Model with Improved MobileNetV3
Xiaoteng Yang, Lei Liu, Xifei Song, Jie Feng and Qingqi Pei (Xidian University, China); Xiaoming Yuan (Northeastern University, China); Jianqiao Li (China Academy of Space Technology, China)
