报告题目：Wireless Communications for Big Data and Internet of Things: A Data-Oriented Approach
报告时间：2019年1月2日14:30 - 16:00
特邀专家：Hong-Chuan Yang教授 University of Victoria, Canada
Prof. Hong-Chuan Yang received the Ph.D. degree in Electrical Engineering from the University of Minnesota, Minneapolis, USA, in 2003. Dr. Yang is a professor of the Department of Electrical and Computer Engineering at the University of Victoria, Victoria, Canada. From 1995 to 1998, he was a Research Associate with the Science and Technology Information Center (STIC) of Ministry of Posts & Telecommunications (MPT), Beijing, China. His research focuses on different aspects of wireless communications, with special emphasis on the analysis and design of energy and spectral efficient transmission technologies. Dr. Yang has published over 200 referred journal and conference papers on these topics. He is the co-author of the book Order Statistics in Wireless Communications (Cambridge Univ. Press) and the author of the book Introduction to Digital Wireless Communications (IET Publishing). Dr. Yang is a senior member of IEEE and a registered professional engineer in BC, Canada.
Wireless communication systems play an essential role in transmitting data for big data and Internet of Things (IoT) applications. These applications generate data of variable sizes and dramatically different quality of service requirements. In this talk, we present a unique data-oriented approach for the design and analysis of wireless transmission strategies for diverse application scenarios, ranging from ultra-reliable low-latency (URLL) transmission to highly energy-efficient transmission. Novel data-oriented performance metrics are proposed and applied to the analysis of wireless transmission strategies in both information theoretical and practical transmission settings. Several design examples are discussed to demonstrate how the data-oriented approach will facilitate a common physical transmission infrastructure for diverse traffic types. Finally, we conclude with several potential future research directions.