Erasure Networks: Capacity, Impact of Feedback and Secrecy

Sriram Vishwanath, Department of Electrical and Computer Engineering, University of Texas at Austin

In this talk, we will discuss abstractions of wireless networks based on an erasure model - where we attempt to capture the broadcast nature of wireless networks and/or interference among users. We determine various notions of capacity (throughput, scaling law) for such models. Next, we study the impact that feedback has on its capacity and finally, determine the rate loss incurred due to the presence of wiretappers and perfect secrecy requirements in wireless erasure networks.

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 wireless systems and networks. His industry experience includes work at the National Semiconductor Corporation, CA and at the Lucent Bell labs, NJ. He received the ARO Young Investigator Award in 2007, the National Science Foundation Early CAREER award in 2005 and the IEEE Communications/Information Theory Societies' Joint Best Paper Award (with Andrea Goldsmith and Nihar Jindal) in 2005.