A general framework for statistically characterizing the dynamics of MIMO channels

F. Javier Lopez-Martinez, Eduardo Martos-Naya, Jose F. Paris, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In multiple-input multiple-output (MIMO) systems the communication channel can be split into s parallel single-input single-output eigenchannels. The channel gains associated with these eigenchannels depend on the magnitude of the eigenvalues of the complex random matrix that characterizes the MIMO channel. We present a general framework for the characterization of the dynamics of MIMO channels. In addition, we provide new analytical results for the distribution of the largest eigenvalue of two correlated Wishart matrices, which enable a direct evaluation of different system performance metrics such as the probability of two consecutive outages separated by a given time window, the level crossing rate and the average fade duration.

Original languageEnglish (US)
Title of host publication2013 IEEE Information Theory Workshop, ITW 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE Information Theory Workshop, ITW 2013 - Seville, Spain
Duration: Sep 9 2013Sep 13 2013

Publication series

Name2013 IEEE Information Theory Workshop, ITW 2013

Other

Other2013 IEEE Information Theory Workshop, ITW 2013
CountrySpain
CitySeville
Period9/9/139/13/13

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • Average fade duration
  • complex Wishart matrix
  • level crossing rate
  • MIMO systems
  • Outage probability
  • Rayleigh fading

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