Abstract The talk considers the downlink of cloud radio access networks, in which a central encoder is connected to multiple multi-antenna base stations (BSs) via finite-capacity backhaul links. The processing is done at the central encoder, while the distributed BSs employ only oblivious (robust) processing. We first review state-of-the-art approaches, where the signals intended for different BSs are compressed independently, or alternatively the recently introduced structured coding ideas (reverse compute-and-forward) are employed. We propose to leverage joint compression, also referred to as multivariate compression, of the signals of different BSs in order to better control the effect of the additive quantization noises at the mobile stations. We address the maximization of a weighted sum rate. For joint compression this is associated with the optimization of the precoding matrix and the joint correlation matrix of the quantization noises, subject to power and backhaul capacity constraints. An iterative algorithm is described that achieves a stationary point, and a practically appealing architecture is proposed based on successive steps of minimum mean-squared error estimation and per-BS compression. We conclude by comparing different processing techniques, discussing a robust design concerning the available accuracy of the channel state information and overviewing aspects for future research. Joint work with S.-H. Park, O. Simeone (NJIT), and O. Sahin (InterDigital).
Biography Shlomo Shamai (Shitz) received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from the TechnionIsrael Institute of Technology, in 1975, 1981 and 1986 respectively. During 1975-1985 he was with the Communications Research Labs, in the capacity of a Senior Research Engineer. Since 1986 he is with the Department of Electrical Engineering, TechnionIsrael Institute of Technology, where he is now a Technion Distinguished Professor, and holds the William Fondiller Professor of Telecommunications. His research interests encompass a wide spectrum of topics in information theory and statistical communications. Dr. Shamai (Shitz) is an IEEE Fellow, a member of the Israeli Academy of Sciences and Humanities and a Foreign Associate of the US National Academy of Engineering. He is the recipient of the 2011 Claude E. Shannon Award, the 1999 van der Pol Gold Medal of the Union Radio Scientifique Internationale (URSI), a co-recipient of the 2000 IEEE Donald G. Fink Prize Paper Award, the 2003, and the 2004 Joint IT/COM societies paper award, the 2007 Information Theory Society Paper Award, the 2009 European Commission FP7, Network of Excellence in Wireless Communications (NEWCOM++) Best Paper Award, and the 2010 Thomson Reuters Award for International Excellence in Scientific Research. He is also the recipient of the 1985 Alon Grant for distinguished young scientists and the 2000 Technion Henry Taub Prize for Excellence in Research. He has served as Associate Editor for the Shannon Theory of the IEEE Transactions on Information Theory, and has also served twice on the Board of Governors of the Information Theory Society. He is a member of the Executive Editorial Board of the IEEE Transactions on Information Theory.
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