Abstract: Interference is an unavoidable phenomenon in wireless networks due to the fact that multiple independent information flows compete for a common resource. The use of multiple antennas at transmit/receive terminals (or MIMO) has emerged as a key enabler in interference management and hence effective spectrum utilization. Besides providing spatial diversity, MIMO promises significant multiplexing gains and resilience to interference in multi-user scenarios. However, realization of these gains requires accurate and timely channel state information at the transmitting terminals. In this talk, we focus on relaxing these assumptions and show the impact of inaccuracies (such as quantization error, delay and time-variability) in channel state information on the performance of multi-user MIMO systems.
Speaker: Ravi Tandon received the B.Tech. degree in electrical engineering from Indian Institute of Technology, Kanpur in May 2004. He received the Ph.D. degree in electrical and computer engineering from the University of Maryland, College Park in June 2010. From July 2010 till July 2012, he was a post-doctoral research associate at Princeton University. Since July 2012, he is a Research Assistant Professor in the ECE Department and with the Hume Center at Virginia Tech. He is a recipient of the Best Paper Award of the Communication Theory Symposium at GLOBECOM 2011.