• DocumentCode
    1628940
  • Title

    Ordered Eigenvalues of a General Class of Hermitian Random Matrices and Performance Analysis of MIMO Systems

  • Author

    Ordóñez, Luis G. ; Palomar, Daniel P. ; Fonollosa, Javier R.

  • Author_Institution
    Dept. of Signal Theor. & Commun., Tech. Univ. of Catalonia, Barcelona
  • fYear
    2008
  • Firstpage
    3846
  • Lastpage
    3852
  • Abstract
    In this paper we present a general formulation that unifies the probabilistic characterisation of Hermitian random matrices with a specific structure. Based on a unified expression for the joint pdf, we obtain (i) the joint cdf, (ii) the marginal cdf´s, and (iii) the marginal pdf´s of the ordered eigenvalues, where (ii) and (iii) follow as simple particularizations of (i). Our formulation is shown to include the distribution of some common MIMO channel models such as the uncorrelated and semicorrelated Rayleigh, and the uncorrelated Rician fading MIMO channel, although it is not restricted only to these. Hence, we provide a solid framework for the simultaneous analytical performance analysis of MIMO systems under different channel models. As an example of application, we obtain the exact outage probability of a spatial multiplexing MIMO system transmitting through the strongest channel eigenmodes.
  • Keywords
    Hermitian matrices; MIMO communication; eigenvalues and eigenfunctions; statistical distributions; Hermitian random matrices; joint pdf; marginal cdf; marginal pdf; ordered eigenvalues; spatial multiplexing MIMO system; Communications Society; Eigenvalues and eigenfunctions; Fading; Information analysis; MIMO; Performance analysis; Receiving antennas; Rician channels; Solid modeling; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.722
  • Filename
    4533758