Abstract

Abstract:

Future communication networks must have the ability to allocate resources dynamically and efficiently to meet the need of growing diversity in services and user behaviors, giving rise to intelligent processing. Intelligent processing aims at enabling the system to perceive and assess the available resources, to autonomously learn to adapt to the perceived wireless environment, and to reconfigure its operating mode to maximize the utility of the available resources. In this talk, I will first give an overview of intelligent processing for communication networks and then present our recent research results in game theory and deep learning for communication networks, including multi-leader multi-follower game-based ADMM for big data processing with application in proactive caching, deep learning for estimation, and deep reinforcement learning for resource allocation in V2V communications.

Biography:

Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He is also holding a Cheung Kong Scholar title at the University of Electronic Science and Technology of China since 2006. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing for wireless communications. Recently, he focuses on intelligent processing for communication networks. In these areas, he has published over 400 referred journal and conference papers in addition to over 40 granted patents, with around 30,000 citations. He has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters (almost every year). He has been an IEEE Fellow since 2006. He received the Stephen O. Rice Prize Paper Award in 2010 and the Award for Advances in Communication in 2017 from the IEEE Communications Society and the James Evans Avant Garde Award in 2013 and the Jack Neubauer Memorial Award in 2014 from the IEEE Vehicular Technology Society. He also won 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.