Capacity of a Gaussian MIMO channel with nonzero mean
IEEE Vehicular Technology Conference 58:3 (2003) 1767-1771
Abstract:
We characterize the input covariance that maximizes the ergodic capacity of a flat-fading, multiple-input-multiple-output (MIMO) channel with additive white Gaussian noise, when the entries of the channel matrix are independent, circularly symmetric, complex Gaussian random variables of nonzero (and possibly different) means and identical variances. We show that the optimal transmit covariance must have the same eigenvectors as the squared mean channel, thereby reducing the computation of the optimal covariance to a simple convex optimization. This generalizes existing results for multiple-input-single-output (MISO) channels and MIMO channels restricted to have a mean of unit rank.Optimizing Multi-Antenna Systems with Partial Channel Knowledge
Institute of Electrical and Electronics Engineers (IEEE) 1 (2003) 217-220
Outage Capacity with two-bit channel feedback for a two-transmit and single receive antenna system
Institute of Electrical and Electronics Engineers (IEEE) 2 (2003) 844-848
Monte Carlo Evaluation of Non-Abelian Statistics
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Theory of surface-acoustic-wave propagation in the v = 5/2 fractional quantum Hall state
International Journal of Modern Physics B 16:20-22 (2002) 2959