Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information

  • Authors:
  • Matthew R. McKay;Iain B. Collings;Antonia M. Tulino

  • Affiliations:
  • Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong;Wireless Technologies Laboratory, CSIRO, Sydney, Australia;Department of Electrical Engineering, Universitá di Napoli "Frederico II", Napoli, Italy

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

We present an interesting and powerful new framework connecting the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers, and the ergodic MIMO mutual information. This allows the vast literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. As an example, the framework is particularized to spatially-correlated Rayleigh fading to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions for high and low signal to noise ratios.