Imperial College London > Talks@ee.imperial > Featured talks > Multimedia over Wireless Networks: Modular System Design with Joint Source-Channel Coding

Multimedia over Wireless Networks: Modular System Design with Joint Source-Channel Coding

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Mobile video traffic exceeded 50 percent of the total mobile data traffic for the first time in 2011. This ratio is expected to surpass 70 percent by 2016. Wireless networks are critically sensitive to the load in the network, and the users’ quality of experience (QoE) is under a risk of significant decline with this growth. Network providers are already having problems supporting this growth within the current network architecture. To avoid a potential network meltdown, one approach is to increase the capacity of the wireless networks. However, simply increasing the network capacity, without taking into account the specific characteristics of the underlying multimedia signals will simply postpone the catastrophe. A more fundamental approach is to go beyond the layered network architecture, and study the underlying problem from a joint source-channel coding (JSCC) perspective.

It is well known that layered network architecture, based on separate source and channel coding, is suboptimal for many fundamental communication scenarios; however, it provides modularity and simplifies the system design. Our goal in this talk is to show the viability of modular design in wireless networks while considering data compression and transmission jointly; and hence, increasing QoE significantly. We will first focus on a wireless multimedia transmission system with multiple antennas, and provide efficient and modular source and channel coding techniques. This scheme will be shown to be superior to the layered approach, and even optimal in certain asymptotic regimes. Next, considering correlated observations at network nodes, such as a distributed camera network, we will show how modularity can be achieved in a joint source and channel cooperative transmission system.

Biography: Deniz Gunduz received the B.S. degree in Electrical and Electronics Engineering from the Middle East Technical University, Ankara, Turkey, in 2002, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from Polytechnic Institute of New York University, Brooklyn, NY, in 2004 and 2007, respectively. From October 2007 until October 2009 he was jointly appointed as a consulting Assistant Professor at Stanford University, and as a postdoctoral Research Associate at Princeton University. In November 2009 he joined CTTC , in Barcelona, Spain, where he is currently a Research Associate in the Access Technologies research area. From November 2009 until November 2011 he also held a visiting researcher position at Princeton University. His research interests lie in the areas of communication theory, information theory and networking, with special emphasis on joint source-channel coding, cooperative communications and energy efficiency.

Dr. Gunduz 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). He 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 was a Technical Program Co-Chair for the Transmission Technologies Track of the IEEE Vehicular Transmission Conference (VTC) Fall 2011, and is currently serving as the Technical Program Co-Chair for the Communication Theory Symposium of the IEEE International Conference on Wireless Communications and Signal Processing (WCSP) 2012. He also served as the organizer and the general Co-Chair of the 2012 European School of Information Theory.

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