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Joint Source-Channel Coding with Fading Channel and Side Information

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If you have a question about this talk, please contact Dr Ramji Venkataramanan.

In a point-to-point communication system we can separate source and channel coding without the loss of end-to-end optimality. This fundamental result in information theory suggests that sources can be compressed independent of the channel parameters, and similarly, channel coding can be optimized independent of the source characteristics, leading to a modular system design. However, the optimality of separate design breaks down when communicating delay-limited sources, such as video, over slow fading wireless channels, due to the non-ergodicity of the channel within the delay deadline of the source samples.

In this talk we will study one such source-channel communication scenario, which considers, in addition to a time-varying communication channel, the presence of time-varying correlated side information at the receiver. While the optimality of separation holds for some side information distributions when the communication channel is static, in general, separation is suboptimal in this scenario. Surprisingly, uncoded transmission is shown to be optimal for a class of side information distributions. To the best of our knowledge, this is the first example in which uncoded transmission achieves the optimal performance thanks to the time-varying nature of the system, while it is suboptimal in the static version of the problem. We then consider a hybrid digital-analog transmission scheme, and show its asymptotic optimality in the high SNR regime for a wider class of system parameters, for which pure digital or pure analog schemes perform far below the optimal performance.

BIO: Bio Deniz Gunduz received his M.S. and Ph.D. degrees in electrical engineering from Polytechnic Institute of New York University, Brooklyn, NY in 2004 and 2007, respectively. Currently he is a Lecturer in the Electrical and Electronic Engineering Department of Imperial College London, UK. He was a research associate at CTTC in Barcelona, Spain from November 2009 until September 2012. He also held a visiting researcher position at Princeton University from November 2009 until November 2011. Previously he was a consulting assistant professor at the Department of Electrical Engineering, Stanford University, and a postdoctoral Research Associate at the Department of Electrical Engineering, Princeton University. He is an Associate Editor of the IEEE Transactions on Communications, and served as a guest editor for the EURASIP Journal on Wireless Communications and Networking, Special Issue on Recent Advances in Optimization Techniques in Wireless Communication Networks. He is currently serving as a co-chair of the IEEE Information Theory Society Student Committee. He was a co-chair of the Network Theory Symposium at the 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP), and also served as a co-chair of the 2012 IEEE European School of Information Theory (ESIT). His research interests lie in the areas of communication theory and information theory with special emphasis on joint source-channel coding, multi-user networks, energy efficient communications and security.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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