| Speaker: | Venu Veeravalli, University of Illinois at Urbana-Champaign |
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| Abstract: | Multi-input Multi-output (MIMO) communications on wireless channels using multiple antennas at the transmitter and receiver holds the promise of a dramatic increase in the information capacity and reliability of wireless communication links. Recent years have seen a surge of research activity on MIMO wireless communications, including information-theoretic analyses to predict the capacity of MIMO channels and space-time coding and signal processing techniques to approach the predicted capacity. However, much of this work is based on an idealized statistical channel model where the components of the channel matrix are i.i.d. zero mean complex Gaussian random variables. This model lends itself to elegant mathematical analysis but is unrealistic in most scattering environments. In this talk, I will present an approach for capacity analysis that works for a fairly general model for the channel statistics. The approach is based on an equivalent virtual representation of the channel that is obtained via a spatial discrete Fourier transform. Using this approach we are able to relate the capacity of the MIMO channel directly to physical scattering environment, and provide guidelines for optimal signaling on the channel. |
| Biography: | Venu Veeravalli received the Ph.D. degree from the University of Illinois at Urbana-Champaign, the M.S. degree from Carnegie-Mellon University and the B. Tech. degree from the Indian Institute of Technology, Bombay, (Silver Medal Honors), all in Electrical Engineering. He joined the faculty of the University of Illinois at Urbana-Champaign in 2000, where he is a professor in the department of Electrical and Computer Engineering and the Coordinated Science Laboratory. Dr. Veeravalli is currently also serving as a program director for communications research at the U.S. National Science Foundation in Arlington, VA. His research interests include wireless communications, distributed sensor systems, detection and estimation theory, and information theory. He is a recipient of an IEEE Browder J. Thompson Best Paper Award, and a Presidential Early Career Award for Scientists and Engineers (PECASE). |
| Presented On: | Friday, December 10, 2004 |
| Videotape: | Click to View the Streaming Quicktime Presentation This presentation requires the free Apple QuickTime Player which can be downloaded from the following link: www.apple.com/quicktime/download |
