Speaker
Professor We Yu
University of Toronto
Title
Network MIMO Systems with Limited Backhaul and Limited Feedback
Abstract
Network MIMO in which base-stations cooperatively transmit and receive information from multiple users across multiple cells has the potential to significantly improve the capacity of wireless cellular networks. In this talk, we address two challenges in the design of practical network MIMO systems. In the first part of the talk, we consider an uplink system in which the backhaul links between the base-stations and the central processor have limited capacity. We describe a simple achievability scheme based on per-base-station Wyner-Ziv compress-and-forward followed by successive interference cancellation, and study its capacity scaling. The proposed scheme significantly reduces the implementation complexity of joint decoding while remaining near optimal for a special Wyner cellular model. In the second part of the talk, we consider a downlink network MIMO system, and study the acquisition of channel state information (CSI) under limited feedback. We propose a two-stage channel quantization and feedback mechanism, study its quantization scaling laws, and show using realistic channel models that the proposed approach can approach the performance of network MIMO with full CSI using only modest amount of feedback.
Speaker's biography
Wei Yu received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo, Waterloo, Ontario, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, in 1998 and 2002, respectively. Since 2002, he has been with the Electrical and Computer Engineering Department at the University of Toronto in Canada, where he is now Professor and holds a Canada Research Chair in Information Theory and Digital Communications. His main research interests include network information theory, optimization, wireless communications and broadband access networks. Prof. Wei Yu has served as an Associate Editor for the IEEE Transactions on Information Theory (2010-13), an Editor for the IEEE Transactions on Communications (2009-2011), an Editor for the IEEE Transactions on Wireless Communications (2004-2007), and a Guest Editor for a number of special issues for the IEEE Journal on Selected Areas in Communications. He is a recipient of the IEEE Signal Processing Society Best Paper Award in 2008, a Best Paper Award in the 2013 IEEE International Conference on Communications (ICC), Communication Theory Symposium, and an Early Career Teaching Award from the Faculty of Applied Science and Engineering, University of Toronto in 2007.
Invited by Professor Liang-Liang Xie