Interference is an unavoidable phenomenon in wireless networks as multiple flows of information compete for the same resource, i.e., the wireless spectrum. As demands for high data rates increase, wireless architectures become heterogeneous and decentralized, interference emerges as the key bottleneck in achieving ubiquitous user experience. It is therefore of fundamental importance to manage interference to maximize spectral efficiency. One of the defining features of the wireless medium is its broadcast nature. This implies that information transmitted to a user is often also received at other unintended users. Traditionally, such receptions are viewed as unwanted interference and are discarded. In this talk, we will present a fresh outlook to show that such unwanted interference can be viewed as side-information that can be harnessed in the future. We will show how this idea can lead to synergistic utilization of seemingly detrimental factors such as time-varying and imperfect channel knowledge, node mobility and dynamic network topology.
Ravi Tandon is a Research Assistant Professor in the ECE Department at Virginia Tech. Prior to joining Virginia Tech in 2012, he was a Post-doctoral research associate in the EE department at Princeton University from 2010-2012 (working with H. Vincent Poor). He received the Ph.D. degree in Electrical and Computer Engineering from University of Maryland, College Park in 2010 (advised by Sennur Ulukus) and the B.Tech degree in electrical engineering from IIT Kanpur in 2004. His research interests are in network information theory, wireless communications, role of feedback in network interference management and information theoretic security. He is a recipient of the Best Paper Award in the Communication Theory Symposium at IEEE Globecom 2011.