Joint Source-Channel Coding over Wireless Networks

 

Abstract

 

 

Our goal in this talk is to show the viability of modular communication system design in wireless networks by considering data compression and transmission jointly. We will focus on three important applications to illustrate related yet different insights into the design and use of joint source-channel coding in wireless networks. We will first focus on a wireless multimedia transmission system with multiple antennas, and provide efficient and modular source and channel coding techniques, which will be analyzed from both theoretical and practical perspectives.


Then, in sensor networks, we will show how modular system design exploiting the correlation among the sensor data can be achieved using novel joint source-channel coding schemes. Finally, in wireless ad-hoc networks we will demonstrate that the joint source-channel coding framework we developed can also be used to design efficient communication protocols exploiting the network topology to provide network coding gains.

 

 

Biography

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 the Polytechnic Institute of New York University, Brooklyn, NY in 2004 and 2007, respectively. He is currently a postdoctoral Research Associate at the Department of Electrical  Engineering, Princeton University and a consulting Assistant Professor at the Department of Electrical Engineering, Stanford University. In 2004, he was a summer researcher in the laboratory of information theory (LTHI) at EPFL in Lausanne, Switzerland. He is the recipient of the 2008 Alexander Hessel Award of the Polytechnic Institute of New York University given to the best PhD Dissertation, and a coauthor of the paper that received the Best Student Paper Award at the 2007 IEEE International Symposium on Information Theory. His research interests lie in the areas of wireless communications, sensor networks, multimedia, security and bioinformatics.