Enabling Source Channel Separation for Communication Networks: The Uplink Case
Vishwanath,Sriram
University of Texas, Austin
Wu,Wei
wwu@ece.utexas.edu
Sridharan,Sriram
University of Texas Austin
This paper looks at the problem of enabling source-channel separation for communication networks. Source-channel separation is of critical important as it provides a great extent of modularity to system design without suffering a penalty in the process. Indeed, source coding and channel coding at the two opposite ends of the protocol stack is the prevailing approach today, and it is desirable that systems are designed in a manner that allows for such architectures not only to be elegant and simple, but also optimal from a performance perspective.
In particular, the paper focuses on the Gaussian uplink network for the case when two transmitters transmit correlated messages. The paper shows that feedback can lead to source-channel separation in such a system. In doing so, the paper
also derives the capacity region for such a network.
Dr. Sriram Vishwanath received his B.S. at IIT Madras, M.S. from CalTech and his Ph.D. from Stanford University, all in Electrical Engineering. He is currently at the University of Texas at Austin as an assistant professor in the department of Electrical and Computer Engineering. His research interests are in multi-user information theory and wireless systems. His industry experience includes work at the National Semiconductor Corporation, CA and at the Lucent Bell labs, NJ. He received the National Science Foundation Early CAREER award and the IEEE ITSoc/ComSoc best paper award in 2005