[2013-01-11] 古孟霖 教授:Interference Alignment over Multiuser MIMO Interference Channels: Max-Min SINR Approaches
【電機系書報討論演講訊息】
書報討論網址:http://www.ee.nthu.edu.tw/~ee591000/
演講公告網址:/p/403-1175-2629-1.php
題 目:Interference Alignment over Multiuser MIMO Interference Channels: Max-Min SINR Approaches
講 員:古孟霖 教授 (國立中央大學通訊工程學系)
時 間:2013年1月11日(星期五) 下午2時20分 (2時10分入場)
地 點:資電館206教室
Abstract:
In multiuser multiple-input multiple-output (MU-MIMO) interference channels, multiple users are allowed for concurrent transmission to improve the spectrum efficiency but inevitably cause the multiuser interference problem. Interference alignment has recently evolved as a potential interference management strategy in information-theoretic aspects to achieve the maximum degrees of freedom (DoF) or multiplexing gains at asymptotically high signal-to-noise (SNR) regimes. In practice, the key challenge lies in how to embody the idea of the interference alignment for MU-MIMO interference networks with arbitrary settings of network parameters, e.g., number of users, antennas and data streams, at any operating SNRs. In this paper, we jointly design precoders and decoders to maximize the the worst-case signal-to-interference plus noise ratio (SINR) among users, which provides a strong incentive to align multiuser interference due to its unselfish nature. The joint design problem is indeed a non-convex optimization problem, and several iterative approaches are proposed to ward off the non-convexity of the formulated optimization problem and to optimize the precoders and decoders alternatively. Unlike the existing interference alignment approaches that simply align the multiuser interference, the proposed joint design methodology considers not only the alignment of interference but also the enhancement of desired signals strength, thereby achieving much higher sum rate performance particularly at low-to-mediate SNR regions. The proposed technique can help us quantify the impact of network parameters on the sum rate performance as well as the interference alignment capability and provide important insights into the implementation of the interference alignment strategy over MU-MIMO interference networks.
Short Bio:
Meng-Lin Ku received the B.S., M.S. and Ph.D. degrees in Communication Engineering from National Chiao Tung University, Hsinchu, Taiwan, in 2002, 2003 and 2009 respectively. Between 2009 and 2010, he held post-doctoral positions in the Department of Electrical and Computer Engineering at National Chiao Tung University and in the School of Engineering and Applied Sciences at Harvard University (in chronological order). In August 2010, he became the faculty member of the Department of Communication Engineering with National Central University, currently holding a position as an Assistant Professor. He is a member of the IEEE Communications Society and served as technical program committee members for numerous IEEE international conferences such as VTC, WCNC, ICCT, etc. His current research interests are in the wide areas of next-generation mobile and wireless communications, cognitive radios, and optimization for radio access.
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