Approximate Random Matrix Models for Generalized Fading MIMO Channels

Abstract

Approximate random matrix models for $\kappa -\mu$ and $\eta -\mu$ faded multiple input multiple output (MIMO) communication channels are derived in terms of a complex Wishart matrix. The proposed approximation has the least Kullback-Leibler (KL) divergence from the original matrix distribution. The utility of the results are demonstrated in a) computing the average capacity/rate expressions of $\kappa -\mu$/$\eta -\mu$ MIMO systems b) computing outage probability (OP) expressions for maximum ratio combining (MRC) for $\kappa -\mu$/$\eta -\mu$ faded MIMO channels c) ergodic rate expressions for zero-forcing (ZF) receiver in an uplink single cell massive MIMO scenario with low resolution analog-to-digital converters (ADCs) in the antennas. These approximate expressions are compared with Monte-Carlo simulations and a close match is observed.

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• Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
• Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
• On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs