报告题目：Machine Learning Enables URLLC in Vehicular Networks
报告人：Kwang-Cheng Chen（陈光祯） 教授
报告时间: 7月16日 下午14:00-17:00
报告地点：新科研楼737会议室
主持人：田辉教授
Abstract:
Autonomous vehicles emerge as a critical technology toward digital society. To satisfy the ultimate reliability and safety, ultra-reliable and low latency communication (uRLLC) in vehicular networks warrantees the success of massive operation of autonomous vehicles. By considering multi-scale control, effective cloud computing, edge computing, and on-board computing, a new technological paradigm is required to facilitate smooth real-time functioning to interact with environments and other agents. Based on the proactive open-loop wireless communication and virtual-cell, anticipatory mobility management to predict proactive network association warrantees the realization of uRLLC in vehicular networks. Machine learning techniques fitting mobile networks lead to successful anticipatory mobility management taking processing scenario and data integrity into account, which is further verified using a real-world vehicular dataset. Machine learning indeed enables, not just enhances, future mobile networking technology, and fundamentally suggests new network architecture to incorporate machine learning.
Biography :
Kwang-Cheng Chen is a Professor at the Department of Electrical Engineering, University of South Florida, since 2016. From 1987 to 2016, Dr. Chen worked with SSE, COMSAT, IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks. He founded a wireless IC design company in 2001, which was acquired by MediaTek Inc. in 2004. He has been actively involving in the organization of various IEEE conferences (most recently, Executive Chair, IEEE GBLOBECOM 2020) and serving editorships with a few IEEE journals (most recently as a series editor on Data Science and AI for Communications in the IEEE Communications Magazine), together with various IEEE volunteer services including founding the Technical Committee on Social Networks in the IEEE Communications Society. Dr. Chen also has contributed essential technology to various international standards like IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A, and 5G-NR. He has authored and co-authored over 300 IEEE publications, 4 books published by Wiley and River (most recently, Artificial Intelligence in Wireless Robotics, 2019), and more than 24 granted US patents. Dr. Chen is an IEEE Fellow and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award. Dr. Chen’s current research interests include wireless networks, artificial intelligence and machine learning, IoT/CPS, social networks and data analytics, and cybersecurity.
