Game Theory, Optimizations & Machine Learning for Communications and Sensing
Prof. Sangarapillai Lambotharan, Loughborough University
时间：7月4日 上午11：00-12：00
地点：无线谷A1306
Abstract
Explosive growth in heterogeneous wireless networks and devices, coupled with increasing demand for high data rate services with ultra reliability and low latency requirements, has put unprecedented pressure on the efficient use of spectral resources. Managing and optimizing radio resources is a complex problem involving multiple objectives and several constraints. This talk covers a range of game-theoretic methods, mathematical optimization techniques, and machine learning techniques for solving several important physical layer design problems in wireless networks and sensing systems. The talk will provide a basic introduction to game theory, convex optimization techniques, and machine learning, followed by their applications, particularly in resource allocation, beamforming, user scheduling, and interference management for communication networks, radars, and smart grids.
Biography
Sangarapillai Lambotharan is a Professor of Signal Processing and Communications and the Director of the Institute for Digital Technologies at Loughborough University London. He received his Ph.D. in signal processing from Imperial College London, U.K., in 1997. In 1996, he was a Visiting Scientist at the Engineering and Theory Centre, Cornell University, USA. Until 1999, he was a Post-Doctoral Research Associate at Imperial College London. From 1999 to 2002, he was with the Motorola Applied Research Group, U.K., where he investigated various projects, including physical link layer modelling and performance characterization of 2.5G and 3G networks. He served as a Lecturer at King’s College London and a Senior Lecturer at Cardiff University from 2002 to 2007.
His current research interests include 5G networks, MIMO, blockchain, machine learning, and network security. He has authored more than 250 journal articles and conference papers, which have attracted over 6,400 citations and garnered an h-index of 43. He is a Fellow of IET and a Senior Member of IEEE. He is currently serving as a Senior Area Editor for IEEE Transactions on Signal Processing and an Associate Editor for IEEE Transactions on Communications.
