Cooperative communication has been a very popular research area in the last decade. However, most previous research has focused on the gains provided by cooperative channel coding, in which the relay terminal processes and forwards the signal it receives from the source terminal. On the other hand, in many practical scenarios the relay terminal may have access to a correlated version of the underlying source signal; such as correlated observations at nearby sensor nodes, or correlated video sequences at distributed cameras observing the same scene. In such scenarios, the optimal performance requires exploiting the relay terminal not only for channel coding, but also for efficient source compression. However, Shannon's source-channel separation theorem does not apply in these settings, and a joint source-channel cooperative coding scheme is required. In this talk, we will consider lossless as well as lossy transmission of sources over relay networks in the presence of correlated side information at the relay and the destination. We will propose novel joint source-channel cooperation protocols, illustrate their superiority to separation based schemes, and identify scenarios for which we can achieve optimal or near-optimal performance.
Deniz Gunduz received the B.S. degree in electrical and electronics engineering from the Middle East Technical University in 2002, and the M.S. and Ph.D. degrees in electrical engineering from Polytechnic Institute of New York University, Brooklyn, NY in 2004 and 2007, respectively.
He is currently a Research Associate at CTTC in Barcelona, Spain. He also held a visiting researcher position at Princeton University. 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 the recipient of a Marie Curie Reintegration Grant funded by the European Union’s Seventh Framework Programme (FP7), the 2008 Alexander Hessel Award of Polytechnic Institute of New York University given to the best PhD Dissertation, and a recipient of the Best Student Paper Award at the 2007 IEEE International Symposium on Information Theory (ISIT).
Dr. Gunduz is the guest editor of the EURASIP Journal on Wireless Communications and Networking, Special Issue on Recent Advances in Optimization Techniques in Wireless Communication Networks. He is the organizer and the chair of the upcoming 2012 European School of Information Theory. His research interests lie in the areas of communication theory and information theory with special emphasis on joint source-channel coding, cooperative communications and energy efficiency.