June 21, 2012
Speaker: Prof. Venu Veeravalli , Director, Illinois Center for Wireless Systems (ICWS) (ECE Dept. and Coordinated Science Lab, University of Illinois at Urbana-Champaign)
The understanding of point-to-point wireless communications channels with fading and receiver thermal noise is mature. Recent advances, particularly in the area of multiantenna communications, have led to significant increases in the capacity and reliability of point-to-point links. However, modern wireless networks are limited by interference from other links, and managing this interference is essential in meeting the exponential growth in demand for wireless data services. Our understanding of interference networks from a fundamental information-theoretic viewpoint is far from complete. Nevertheless, there have been recent advances, particularly those based on degrees of freedom (DoF) analyses, that are shedding some light on interference management. We will discuss some of these results, with a specific focus on the DoF analysis of coordinated multi-point (CoMP) transmission and reception, where the transmitters may cooperate to jointly transmit the messages, and/or the receivers cooperate to jointly receive the messages.
Venu Veeravalli received the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1992, the M.S. degree from Carnegie-Mellon University in 1987, and the B.Tech degree from Indian Institute of Technology, Bombay in 1985. He is currently a Professor in the department of Electrical and Computer Engineering (ECE) and the Coordinated Science Laboratory (CSL) at the University of Illinois at Urbana-Champaign. He was on the faculty of the School of ECE at Cornell University before he joined Illinois in 2000. He served as a program director for communications research at the U.S. National Science Foundation in Arlington, VA during 2003-2005. His research interests include wireless communications, distributed sensor systems and networks, detection and estimation theory, and information theory. He is a Fellow of the IEEE, and a recipient of the IEEE Browder J. Thompson Best Paper Award and the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE). He served as a distinguished lecturer for the IEEE Signal Processing Society during 2010-2011.