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
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Institute of Electrical and Electronics Engineers (IEEE) 2 (2003) 844-848
A mean Martini
Chapter in Walter Kohn, Springer-Verlag (2003) 238-240
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ULTRASONICS 41:7 (2003) 531-538