• DocumentCode
    2042923
  • Title

    Capacity optimization for ricean correlated MIMO channels with decorrelator receiver

  • Author

    Pandula, Shyam ; Paris, Bernd-Peter

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA
  • fYear
    2008
  • fDate
    19-21 March 2008
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    This paper addresses the capacity optimization problem for MIMO wireless channels with a non-zero mean and transmit antenna correlation. With a decorrelator receiver, the capacity of the MIMO system is a function of the diagonal elements of an inverted noncentral Wishart distributed matrix. Hence, finding the average capacity is difficult. We simplify the problem by approximating the SNR of each spatial stream by a standard noncentral Chi-squared random variable. Using the moments of the SNR, we obtain a Taylor series approximation for the average capacity that is significantly better than the commonly used bound via Jensen´s inequality. The obtained Taylor series approximation is used to design a linear precoder that maximizes the total average capacity of the system. Simulation results are provided to illustrate the performance gain.
  • Keywords
    MIMO communication; approximation theory; channel capacity; matrix algebra; optimisation; precoding; radio receivers; wireless channels; Jensen´s inequality; MIMO wireless channels; Ricean correlated MIMO channels; SNR approximation; Taylor series approximation; capacity optimization; decorrelator receiver; inverted noncentral Wishart distributed matrix; linear precoder; nonzero mean; standard noncentral Chi-squared random variable; transmit antenna correlation; Channel state information; Decorrelation; Fading; Frequency; Hafnium; MIMO; Random variables; Receiving antennas; Taylor series; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-2246-3
  • Electronic_ISBN
    978-1-4244-2247-0
  • Type

    conf

  • DOI
    10.1109/CISS.2008.4558555
  • Filename
    4558555