Coding over Interference Channels: An Information-Estimation View

Professor Shlomo Shamai
Professor, Technion
Given on: February 7, 2013

Abstract

The information-estimation relation is used to gain insight into useful coding schemes operating over the Gaussian interference channel.

After reviewing basic I-MMSE relations and their implications on point-to-point coding over the Gaussian channel, we focus on the Gaussian interference channel. Here the inflicted interference is measured by the associated minimum mean square error (MMSE). Structure of codes achieving reliable communication at some specific signal-to-noise ratio (SNR) and constrained by the permitted MMSE at a lower SNR values, modeling the interference, are discussed. It is shown that layered superposition codes attain optimal performance, providing thus some engineering insight to the relative efficiency of the Han-Kobayashi coding strategy.

The Degrees-of-Freedom (DoF) behavior of the multi-user Gaussian interference channel is captured by considering the MMSE-Dimension concept, providing a general expression for the DoF. A short outlook concludes the presentation, addressing related research challenges, and also recent results, where interference is measured by the corresponding mutual information.

Joint work with Ronit Bustin, Technion.

Biography

Shlomo Shamai (Shitz) received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from the Technion—Israel 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, Technion—Israel 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 and a member of the Israeli Academy of Sciences and Humanities. 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.