Topic: How to Understand LMMSE Transceiver Design for MIMO Systems From Quadratic Matrix Programming
Time： 2013年7月29日（星期一）14:00pm~15:00pm
Venue： 信电大楼-215学术厅
Speaker：Prof. Chengwen Xing
School of Information and Electronics
Beijing Institute of Technology (BIT)
Abstract
In this talk a unified linear minimum mean-square-error (LMMSE) transceiver design framework is investigated, which is suitable for a wide range of wireless systems. The unified design is based on an elegant and powerful mathematical programming technology termed as quadratic matrix programming (QMP). Based on QMP it can be observed that for different wireless systems, there are certain common characteristics which can be exploited to design LMMSE transceivers e.g., the quadratic forms. It is also discovered that evolving from a point-to-point MIMO system to various advanced wireless systems such as multi-cell coordinated systems, multi-user MIMO systems, MIMO cognitive radio systems, amplify-and-forward MIMO relaying systems and so on, the quadratic nature is always kept and the LMMSE transceiver designs can always be carried out via iteratively solving a number of QMP problems. A comprehensive framework on how to solve QMP problems is also given. The work presented here is likely to be the first shot for the transceiver design for the future ever-changing wireless systems.
Biography
Chengwen Xing (S'08--M'10) received the B.Eng. degree from Xidian University, Xi'an, China, in 2005 and the Ph.D. degree in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, in 2010. Since September 2010, he has been with the School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing, China, where he is currently an associate professor. He has published over 30 journal papers including 20 IEEE Journal papers. He is an Editor of KSII Transactions on Internet and Information Systems and an associate Editor of Transactions on Emerging Telecommunications Technologies. He is also a guest Editor for the Special Issue of Cognitive Radio in EURASIP Journal on Advances in Signal Processing. He has won the best papers of international conferences. His current research interests include statistical signal processing, convex optimization, multivariate statistics, combinatorial optimization, MIMO systems, and cooperative communication systems.