IEEE International Conference on High Performance Switching and Routing
6–8 June 2022 // Virtual Conference

Day 3: Wednesday, June 8

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