• DocumentCode
    3141776
  • Title

    Approximate average eigenvalues of a random matrix and their application to LMMSE receiver analysis

  • Author

    Shekhar, H. ; Ingram, M.A.

  • Author_Institution
    ArrayComm LLC, San Jose
  • fYear
    2008
  • fDate
    22-24 Jan. 2008
  • Firstpage
    571
  • Lastpage
    574
  • Abstract
    This paper gives an approximate closed form expression (CFE) for the average eigenvalues of a random interference covariance matrix. The approximate CFEs derived in this paper are then used to obtain simple CFEs for the cumulative distribution function (CDF) of the signal-to- interference-plus-noise ratio (SINR) and the average of the bit error rate (ABER) of a linear minimum mean squared error receiver in a flat fading channel. Transmissions from one desired and two interfering users are considered. All the three users are allowed to have different average powers at the receiver.
  • Keywords
    covariance matrices; eigenvalues and eigenfunctions; error statistics; fading channels; least mean squares methods; radio receivers; CDF; LMMSE receiver analysis; SINR; approximate average eigenvalues; average of the bit error rate; closed form expression; cumulative distribution function; flat fading channel; linear minimum mean squared error receiver; random interference covariance matrix; random matrix; signal-to-interference-plus-noise ratio; Array signal processing; Bit error rate; Covariance matrix; Distribution functions; Eigenvalues and eigenfunctions; Fading; Interference; Laplace equations; Receiving antennas; Signal to noise ratio; ABER; CDF; LMMSE; SINR; Wishart matrix; beamforming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium, 2008 IEEE
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4244-1462-8
  • Type

    conf

  • DOI
    10.1109/RWS.2008.4463556
  • Filename
    4463556