牛志升教授谈信息物理系统中的数据包传输优化策略

Optimal Scheduling Policies for Regular Delivery of Data Packets in Networked Cyber-Physical Systems

主讲人：牛志升教授 清华大学

时间 : 2017年09月22日 11时

地点 : 重庆大学主教学楼515会议室

主办单位 : 重庆大学通信工程学院

主讲人简介：

Zhisheng Niu graduated from Beijing Jiaotong University, China, in 1985, and got his M.E. and D.E. degrees from Toyohashi University of Technology, Japan, in 1989 and 1992, respectively.  During 1992-94, he worked for Fujitsu Laboratories Ltd., Japan, and in 1994 joined with Tsinghua University, Beijing, China, where he is now a professor at the Department of Electronic Engineering.  His major research interests include queueingtheory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks. 

Dr. Niu has been an active volunteer for various academic societies, including Director for Asia-Pacific Board (2008-09), Director for Conference Publications (2010-11), and Chair of Emerging Technology Committee (2014-15) of IEEE Communication Society.  He has served as associate editor-in-chief of IEEE/CIC joint publication China Communications (2012-16) and editor of IEEE Wireless Communication (2009-13), and currently serving as area editor of IEEE Trans. Green Commun. & Networks. He also served as a distinguished lecturer (2012-15) of IEEE Communication Society and a distinguished lecturer (2014-16) of IEEE Vehicular Technologies Society. Dr. Niureceived the Outstanding Young Researcher Award from Natural Science Foundation of China in 2009 and the Best Paper Award from IEEE Communication Society Asia-Pacific Board in 2013.  He was the Chief Scientist of the National Basic Research Program (so called “973 Project”) of China on "Fundamental Research on the Energy and Resource Optimized Hyper-Cellular Mobile Communication System" (2012-2016), which is the first national project on green communications in China.  He is a fellow of both IEEE and IEICE.

讲座内容：

        In networked cyber-physical systems such as vehicular networks, a large number of nodes continually generate sensing data that should be delivered to other nodes or a central controller in a regular fashion.  How to optimally and energy-efficiently schedule those packets over unreliable wireless  s with limited resources is an open problem.  In this talk, we firstly formulate the problem as an infinite-state risk-sensitive Markov decision process (MDP), where the state of each client is the time-since-last-delivery of its packet and the exceedances of inter-delivery times for different clients over their corresponding design thresholds are penalized.  In order to reduce the computational complexity of the original problem, we then develop a restless multi-armed bandit model and provide a low-complexity Whittle Index policy which is proved to be asymptotically optimal.  Simulation results validate the effectiveness of our policies.