Random Beamforming over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach

Computer Science – Information Theory

Scientific paper

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to appear in IEEE Transactions on Information Theory, 2011

Scientific paper

In this work, we study the performance of random isometric precoders over quasi-static and correlated fading channels. We derive deterministic approximations of the mutual information and the signal-to-interference-plus-noise ratio (SINR) at the output of the minimum-mean-square-error (MMSE) receiver and provide simple provably converging fixed-point algorithms for their computation. Although the deterministic approximations of the achieved rates are only proven exact asymptotically, simulations suggest that they closely match the true performance even for systems of small dimensions. We specifically characterize here the performance of multi-cellular communication systems, multiple-input multiple-output multiple-access channels (MIMO-MAC), and MIMO interference channels, as instrumental examples of our novel analytical results. The mathematical analysis is based on the Stieltjes transform method which enables the derivation of deterministic equivalents of functionals of large-dimensional random matrices. In contrast to previous works, our analysis does not rely on arguments from free probability theory which allows us to consider random matrix models for which asymptotic freeness does not hold. Thus, the results of this work are also a novel contribution to the field of random matrix theory and are shown to be applicable to a wide spectrum of practical systems.

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