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Time：2013年7月8日（周一）下午2:00~5:00

Venue：信电大楼-215学术厅

Speaker：Prof. Vincent Lau

 (Hong Kong University of Science and Technology, Hong Kong)

Biography：

Vincent obtained B.Eng (Distinction 1st Hons) from the University of Hong Kong (1989-1992) and Ph.D. from the Cambridge University (1995-1997). He completed the Ph.D. degree in two years and joined Bell Labs from 1997-2004. He joined the Department of ECE, Hong Kong University of Science and Technology (HKUST) in 2004 and is currently a Professor and the Founding Director of Huawei-HKUST Joint Innovation Lab at HKUST. He is also elected as IEEE Fellow, Croucher Senior Research Fellow and Changjiang Chair Professor. Vincent has published more than 200 IEEE journal and conference papers and has contributed to 28 US patents on various wireless systems. In addition, he is also the key contributor of four IEEE standard contributions to IEEE 802.22 (WRAN / Cognitive Radio). His current research focus includes robust cross layer optimization for MIMO/OFDM wireless systems, interference mitigation techniques for wireless networks, delay-optimal cross layer optimizations as well as multi-timescale stochastic network optimization. He has obtained three IEEE best paper awards and is currently an area editor of IEEE Transactions on Wireless Communications, area editor of IEEE Signal Processing Letters, EUARSIP Wireless Communications and Networking as well as guest editor of JSAC.

Abstract:

This course will focus on the quantitative design and optimization of next generation wireless systems from physical layer to system layer as well as advanced cross-layer optimization. We first review the basic information theory for quantitative modeling of the physical layer. We then consider different formulations of robust radio resource optimization for various important wireless topologies such as MIMO/OFDM system, cooperative MIMO (Co-MP) and cognitive dynamic spectrum access. Depending on the information structure of the control policy, they corresponds to different types of stochastic optimization problems. We will discuss two important types of stochastic optimization problems as well as various techniques and solutions. Beside wireless communications, there are other important applications such as stochastic control and financial engineering (portfolio optimization). We shall adopt a quantitative and mathematically rigorous approach and strong background of mathematics such as communication theory, optimization theory, and advanced stochastic process will be needed. Topics covered include information theory for wireless systems, Spatial Diversity, Spatial Multiplexing and MIMO Detection, Multi-user Communications, cross layer throughput-optimal and delay-optimal resource control for next generation wireless networks, robust optimization and arkov decision process.