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Approximate Random Matrix Models for Generalized Fading MIMO Channels

Information Theory 2019-10-23 v2 math.IT Applications

Abstract

Approximate random matrix models for κμ\kappa-\mu and ημ\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 κμ\kappa-\mu/ημ\eta-\mu MIMO systems b) computing outage probability (OP) expressions for maximum ratio combining (MRC) for κμ\kappa-\mu/ημ\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.

Keywords

Cite

@article{arxiv.1707.09734,
  title  = {Approximate Random Matrix Models for Generalized Fading MIMO Channels},
  author = {Muralikrishnan Srinivasan and Sheetal Kalyani},
  journal= {arXiv preprint arXiv:1707.09734},
  year   = {2019}
}
R2 v1 2026-06-22T21:01:59.341Z