9:00-10:30 Tutorial 1
Moderator: Eirini Eleni Tsiropoulou (University of New Mexico, USA)
Wireless Federated Learning for Mobile Edge Computing
Xiang Sun (University of New Mexico, USA)
10:30-10:40 Introduction to IEEE HPSR 2023
10:40-12:10 Tutorial 2
Moderator: Zubair Fadlullah (Lakehead University, Canada)
Data-Driven Resource Management in 5G+ Wireless Networks
Muhammad Ismail (Tennessee Tech University, USA)
12:10-13:00 Recess
13:00-14:30 TS5: Architecture and management of 5G and beyond
Session chair: Yawen Tan (Xidian University)
Note: 15 minutes for each speaker including 12 minutes for presentation, 2 for questions, and 1 for turnaround between speakers
Paper 1: (Invited) How Does 5G NR V2X Mode 2 Handle Aperiodic Packets and Variable Packet Sizes?
Authors: Alejandro Molina-Galan (Universidad Miguel Hernández de Elche, Spain); Baldomero Coll-Perales (Universidad Miguel Hernandez de Elche (UMH), Spain); Luca Lusvarghi (University of Modena and Reggio Emilia, Italy); Javier Gozalvez (Universidad Miguel Hernandez de Elche, Spain); Maria Luisa Merani (University of Modena and Reggio Emilia, Italy)
Paper 2: Joint Routing and Scheduling for Deterministic Networking – A Segment Routing Approach
Authors: Tianchi Li and Yueping Cai (Chongqing University, China)
Paper 3: A Deep Reinforcement Learning Approach for Deploying SDN Switches in ISP Networks from the Perspective of Traffic Engineering
Authors: Yingya Guo, Jianshan Chen and Kai Huang (Fuzhou University, China); Jianping Wu (Tsinghua University, China)
Paper 4: Age of Information Minimization in Wireless Powered NOMA Communication Networks
Authors: Weiwei Jin, Liang Huang and Kaikai Chi (Zhejiang University of Technology, China)
Paper 5: A Novel Personnel Counting Method Based on WiFi Perception
Authors: Shen Wang and Yijie Xun (Northwestern Polytechnical University, China); Jie Zhao and Yuanyuan Sun (Xidian University, China)
Paper 6: A Dynamic Flow Table Management Method Based on Real-Time Traffic Monitoring
Authors: Jinyuan Zhang, Xuanbo Huang, Jian Li, Kaiping Xue, Qibin Sun and Jun Lu (University of Science and Technology of China, China)
14:30-14:35 Recess
14:35-16:05 TS6: Intelligent traffic scheduling and computation offloading
Session chair: Xiaoyi Zhou (Xidian University)
Note: 15 minutes for each speaker including 12 minutes for presentation, 2 for questions, and 1 for turnaround between speakers
Paper 1: Photonic-Aware Neural Networks for Packet Classification in URLLC Scenarios
Authors: Emilio Paolini (Scuola Superiore Sant’Anna, Italy); Federico Civerchia (SmaRTy Italia SRL, Italy); Lorenzo De Marinis and Luca Valcarenghi (Scuola Superiore Sant’Anna, Italy); Luca Maggiani (SmaRTy Italia SRL, Italy); Nicola Andriolli (National Research Council of Italy, Italy)
Paper 2: A Data Analytics Based Approach to Cloud Resource Auto-Scaling
Authors: Murali Kodialam (Nokia Bell Labs, USA); Fang Hao (Bell Labs, Nokia, USA); Sarit Mukherjee (Nokia Bell Labs, USA); T. V Lakshman (Bell Labs, Nokia, USA)
Paper 3: Trajectory Planning for UAV Assisted Mobile Edge Computing via Reinforcement Learning
Authors: Simeng He and Shangwei Zhang (Northwestern Polytechnical University, China)
Paper 4: Storage-Enabled Adaptive Multi-Path Scheduling Method for Data Transfers in Task Offloading
Authors: Xiao Lin and Shuo Ji (Fuzhou University, China); Shengnan Yue (Shanghai Jiao Tong University, China); Jun Li (Soochow University, China); Feng Chen (Fuzhou University, China)
Paper 5: C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC)
Authors: Ming Zhao, Yixiang Li, Sohaib Asif, Yusen Zhu, and Fengxiao Tang (Central South University, China)
Paper 6: Dynamic Task Division and Allocation in Mobile Edge Computing Systems – A Latency Oriented Approach via Deep Q-Learning Network
Authors: Pengcheng Tan and Yang Li (University of Macau, China); Minghui Dai and Yuan Wu (University of Macau, Macao)
16:05-16:10 Recess
16:10-17:00 Workshop: Leveraging Machine Learning and Artificial Intelligence in Mobile Edge Computing
Moderator: Kaikai Chi (Zhejiang University of Technology, China)
A Non-Intrusive Security Estimation Method Based on Common Attribute of IIoT Systems
Kai Fang, Yuanyuan Pan, Penglai Guo, Xiaoling Peng, Tingting Wang, Xun Yuan and Jianqing Li (Macau University of Science and Technology, China)
Incremental Learning Assisted Dynamic Driver identification: A New Perspective
Wei Guo and Junman Qin (Xidian University, China); Yijie Xun (Northwestern Polytechnical University, China)
Deep Reinforcement Learning for VRC Deployment in Mobile Edge Computing
Yuanzhuo Wu, Guanqun Shen and Shubin Zhang (Zhejiang University of Technology, China); Gang Chen (Zhejiang Institute of Mechanical and Electrical Engineering, China)
17:00-17:20: Close session