A model to calculate the capacity distribution of correlated MIMO channels and interferers

Aris L. Moustakas, Steven H. Simon, Anirvan M. Sengupta

Research output: Contribution to conferencePaperpeer-review


The use of multi-antenna arrays has been predicted to provide substantial throughput gains for wireless communication systems. However, these predictions have to be assesed in realistic situations, such as correlated channels and in the presence of interference. Here we present a model, which provides expressions for the average and the variance of the distribution of the mutual information of multi-antenna systems with arbitrary correlations and interferers. This model, even though it is based on analytic calculations in the limit of large antenna numbers, produces extremely accurate results even for small arrays. We use this model to optimize over the input signal covariance with channel covariance feedback and thus to calculate closed-loop capacities We analyze in detail two specific examples and also compare to simulations to establish its validity. This method provides a simple tool to analyze the statistics of throughput for arrays of any size.

Original languageEnglish (US)
Number of pages6
StatePublished - 2003
EventIEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States
Duration: Dec 1 2003Dec 5 2003


OtherIEEE Global Telecommunications Conference GLOBECOM'03
Country/TerritoryUnited States
CitySan Francisco, CA

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Global and Planetary Change


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