Presenters:
Hong-Chuan Yan, University of Victoria, Canada
Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
Abstract:
Future wireless communication systems need to effectively and efficiently support various vertical applications with stringent service quality requirements. The ultra-high reliability, very low latency, and extremely high energy efficiency requirements demands novel intelligent wireless transmission solutions. In this tutorial, we present a unique data-oriented approach for wireless transmission system analysis and design. We introduce novel performance metrics to characterize the performance for wireless transmission sessions from the data’s perspective and use these performance metrics to guide the design of practical transmission systems. We propose to optimally configure wireless transceivers for individual transmission sessions, considering the desired service quality of the data to be transmitted, the prevailing channel condition, as well as the available system resources. Such data-oriented session-specific design problems generally require the real-time solutions of complex non-convex optimization problems. We adapt advanced deep reinforcement learning (DRL) algorithms to develop efficient online solutions, by integrating offline learning and online tuning. We illustrate the effectiveness and general applicability of the DRL-based design approach through several sample communication scenarios. Through this tutorial, the attendees will learn a brand new design approach for future intelligent wireless transmission systems.
Biographies:
Hong-Chuan Yang (Senior Member, IEEE) received his Ph.D. degree in Electrical Engineering from the University of Minnesota, Minneapolis, USA, in 2003. Since then, Dr. Yang has been with the Department of Electrical and Computer Engineering at the University of Victoria, Victoria, B.C., Canada, where he is now a professor. From 1995 to 1998, Dr. Yang was a Research Associate at the China Academy of Information and Communications Technology (CAICT), Beijing, China. His current research focuses on the design and analysis of intelligent wireless transmission systems for advanced Internet of Things. Dr. Yang has published over 270 referred journal and conference papers. He is the author of Introduction of Digital Wireless Communications by IET press and the co-author of Advanced Wireless Transmission Technologies by Cambridge University Press. He is a registered professional engineer (P. Eng.) in British Columbia, Canada, and a co-recipient of best paper awards at three IEEE conferences. Dr. Yang has presented twelve tutorials at international conferences and delivered over fifty invited talks.
Mohamed-Slim Alouini (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the California Institute of Technology (Caltech) in 1998. He also received the Habilitation degree from the Universite Pierre et Marie Curie in 2003. Dr. Alouini started his academic career at the University of Minnesota in 1998. In 2005, he joined Texas A&M University at Qatar, Doha, and in 2009, he was appointed as Professor of Electrical Engineering at KAUST, Thuwal, Mekkah Province, Saudi Arabia, where he is responsible for research and teaching in the areas of Communication Theory and Applied Probability. More specifically, his research interests include design and performance analysis of diversity combining techniques, MIMO techniques, multi-hop/cooperative communications systems, cognitive radio systems, and multi-resolution, hierarchical and adaptive modulation schemes. Dr. Alouini has published several papers on the above subjects, and he is co-author of the textbook Digital Communication over Fading Channels published by Wiley Interscience. He is a Fellow of the IEEE, a member of the Thomson ISI Web of Knowledge list of Highly Cited Researchers, and a co-recipient of best paper awards in eight IEEE conferences (including ICC, GLOBECOM, VTC, and PIMRC).