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December 10, 2004 -- Capacity of MIMO Wireless Channels via Virtual Representation, A Talk by Venu Veeravalli

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.

The Talk will be held at 11:00 a.m. in 2460 AV Williams Building.