The projected gradient methods for least squares matrix approximations with spectral constraints
SIAM Journal on Numerical Analysis
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
Filterbank transceivers optimizing information rate in block transmissions over dispersive channels
IEEE Transactions on Information Theory
Mutual information and minimum mean-square error in Gaussian channels
IEEE Transactions on Information Theory
Gradient of mutual information in linear vector Gaussian channels
IEEE Transactions on Information Theory
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
The geometry of fusion inspired channel design
Signal Processing
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We study the design of linear precoders for maximization of the mutual information in MIMO systems with arbitrary constellations and with perfect channel state information at the transmitter. We derive the structure of the optimum precoder and we show that the mutual information is concave in a quadratic function of the precoder coefficients. An iterative algorithm is also proposed to find this optimum value.