WS-22: Data Driven Intelligence for Networks and Systems (DDINS)
Presentation Sessions (on-demand):
Session 1
Monday May 16, 2022, 09:00~17:00 (KST), WS 22-01: Data-driven communications and networking (1)
- Life-Long Learning for Reasoning-Based Semantic Communication
Jingming Liang (Huazhong University of Science and Technology, China); Yong Xiao (Huazhong University of Science and Technology, China); Yingyu Li (Huazhong University of Science and Technology, China); Guangming Shi (Xidian University, China); Mehdi Bennis (Centre of Wireless Communications, University of Oulu, Finland)
- Optimization for Prediction-Driven Cooperative Spectrum Sensing in Cognitive Radio Networks
Dawei Nie (Lancaster University, United Kingdom (Great Britain)); Wenjuan Yu (Lancaster University, United Kingdom (Great Britain)); Qiang Ni (Lancaster University, United Kingdom (Great Britain)); Haris Bin Pervaiz (Lancaster University, United Kingdom (Great Britain));
- Data-Driven Digital Pre-Distortion Design via Joint Intermediate and Radio Frequency Optimization
Xiaojing Chen (Shanghai University, China); Zhouyu Lu (Shanghai University, China); Shunqing Zhang (Shanghai University, China); Shugong Xu (Shanghai University, China); Yongming Wang (Shanghai Spacecom Satellite Technology Ltd., China)
- Reasoning on the Air: An Implicit Semantic Communication Architecture
Yong Xiao (Huazhong University of Science and Technology, China); Yingyu Li (Huazhong University of Science and Technology, China); Guangming Shi (Xidian University, China); H. Vincent Poor (Princeton University, USA)
Session 2
Monday May 16, 2022, 09:00~17:00 (KST), WS 22-02: Data-driven communications and networking (2)
- HEC-NerveNet: A Resilient Edge Cloud Architecture for Beyond 5G Networks
Cheikh Saliou Mbacke Babou (National Institute of Information and Communications Technology (NICT), Japan); Yasunori Owada (National Institute of Information and Communications Technology (NICT), Japan); Masugi Inoue (National Institute of Information and Communications Technology (NICT), Japan); Kenichi Takizawa (National Institute of Information and Communications Technology (NICT), Japan); Toshiaki Kuri (National Institute of Information and Communications Technology (NICT), Japan)
- Two-Time-Scale Hybrid Proactive and Reactive Edge Caching for Content Delivery Networks
Jialing Chang (Shanghai Jiao Tong University, China); Junyi Yang (Shanghai Jiao Tong University, China); Meixia Tao (Shanghai Jiao Tong University, China); Hu Tuo (IQIYI Science & Technology Co., Ltd., China)
- Efficient Pruning-Split LSTM Machine Learning Algorithm for Terrestrial-Satellite Edge Network
Guhan Zheng (Lancaster University, United Kingdom (Great Britain)); Qiang Ni (Lancaster University, United Kingdom (Great Britain)); Keivan Navaie (Lancaster University, United Kingdom (Great Britain)); Haris Bin Pervaiz (Lancaster University, United Kingdom (Great Britain)); Charilaos Zarakovitis (National Centre for Scientific Research Demokritos, Greece)
- Deep Q-Network for 5G NR Downlink Scheduling
Walaa H Alqwider (Mississippi State University, USA); Vuk Marojevic (Mississippi State University, USA); Talha Faizur Rahman (Mississippi State University, USA)
Session 3
Monday May 16, 2022, 09:00~17:00 (KST), WS 22-03: Data-driven deep Learning for communications and networking
- Deep Learning-Based Hybrid Precoding for FDD Massive MIMO-OFDM Systems With a Limited Pilot and Feedback Overhead
Minghui Wu (Beijing Institute of Technology, China); Zhen Gao (Beijing Institute of Technology, China); Zhijie Gao (Beijing Institute of Technology, China); Di Wu (China Academy of Information and Communications Technology, China); Yang Yang (Beijing University of Posts and Telecommunications, China); Yang Huang (Nanjing University of Aeronautics and Astronautics, China)
- Multi-Agent Deep Reinforcement Learning for Uplink Power Control in Multi-Cell Systems
Ruibao Jia (Beijing University of Posts and Telecommunications, China); Liu Liu (DOCOMO Beijing Communications Laboratories Co., Ltd, China); Xufei Zheng (DOCOMO Beijing Communications Laboratories Co., Ltd, China); Yuhan Yang (Beijing University of Posts and Telecommunications, China); Shaoyang Wang (Beijing University of Posts and Telecommunications, China); Pingmu Huang (Beijing University of Posts and Telecommunications, China); Tiejun Lv (Beijing University of Posts and Telecommunications, China)
- Unsupervised Deep Learning to Solve Power Allocation Problems in Cognitive Relay Networks
Yacine Benatia (ETIS / CY Cergy Paris University, ENSEA, CNRS, France); Anne Savard (IMT Nord Europe - IRCICA, France); Romain Negrel (ESIEE Paris/LIGM, France); E. Veronica Belmega (ETIS / ENSEA - UCP - CNRS, France)
- Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks
Jianpeng Xu (Beijing Jiaotong University, China); Bo Ai (Beijing Jiaotong University, China); Tony Q. S. Quek (Singapore University of Technology and Design, Singapore); Yupei Liu (University of Science Technology Beijing, China)
- A DDPG-Based Transfer Learning Optimization Framework for User Association and Power Control in HetNet
Zimu Li (Beijing University of Posts and Telecommunications, China); Xiangming Wen (Beijing University of Posts and Telecommunications, China); Zhaoming Lu (Beijing University of Posts and Telecommunications, China); Wenpeng Jing (Beijing University of Posts and Telecommunications, China)
Session 4
Monday May 16, 2022, 09:00~17:00 (KST), WS 22-04: Data-driven smart cities
- An Adaptive Resource Allocation Approach Based on User Demand Forecasting for E-Healthcare Systems
Lin Zhang (Nanjing Audit University, China); Xiaoming Yuan (Northeastern University, China); Jingqi Luo (Northeastern University, China); Chujun Feng (Northeastern University, China); Guowei Yang (Nanjing Audit University, China); Ning Zhang (University of Windsor, Canada)
- An Annotating Method of GPS Trajectory Data for Human Mobility Analysis in Urban Area
Kohei Shiomoto (Tokyo City University, Japan); Satoru Ohgaki (REI-FRONTIER INC., Japan)
- Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization
Zhe Tang (University of Liverpool, China); Sihao Li (University of Liverpool & Xi'an Jiaotong Liverpool University, China); Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University, China); Jeremy Smith (University of Liverpool, United Kingdom (Great Britain))
- Multi-Objective Intelligent Handover in Satellite-Terrestrial Integrated Networks
Cui-Qin Dai (Chongqing University of Posts and Telecommunications, China); Jing Xu (Chongqing University of Posts and Telecommunications, China); Jinsong Wu (Universidad de Chile, Chile); Qianbin Chen (Chongqing University of Posts and Telecommunications, China)
Session 5
Monday May 16, 2022, 09:00~17:00 (KST), WS 22-05: Data-driven security and privacy
- Detecting IoT Botnets on IoT Edge Devices
Meghana Raghavendra (Purdue University Fort Wayne, USA); Zesheng Chen (Purdue University Fort Wayne)
- Deep Learning for Secure Transmission in Wireless Communication Networks
Felix O Olowononi (Howard University, USA); Danda B. Rawat (Howard University, USA); Charles A Kamhoua (US Army Research Laboratory & Network Science Division, USA)
- Preventing Frame Fingerprinting in Controller Area Network Through Traffic Mutation
Alessio Buscemi (University of Luxembourg, Luxembourg); Ion Turcanu (Luxembourg Institute of Science and Technology); German Castignani (University of Luxembourg / SnT, Luxembourg); Thomas Engel (University of Luxemburg, Luxembourg)
- A Hierarchical Framework for Drone Identification Based on Radio Frequency Machine Learning
Xinrui Zhao (Tsinghua University, China); Longhui Wang (Tsinghua University, China); Qiexiang Wang (Tsinghua University, China); Jian Wang (Tsinghua University, China)