• DocumentCode
    3351070
  • Title

    Performance Analysis of MIMO Receivers under Imperfect CSIT

  • Author

    Pandula, Shyam ; Paris, Bemd-Peter

  • Author_Institution
    George Mason Univ., Fairfax
  • fYear
    2007
  • fDate
    14-16 March 2007
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    This paper considers spatial multiplexing (SM) systems with preceding. The precoder is derived from the singular value decomposition (SVD) of the available channel state information at the transmitter (CSIT) and the receiver is a function of the precoder and the current channel. With perfect CSIT, the MRxMT flat-fading MIMO channel can be decomposed into mm(MT,MR) parallel spatial subchannels. However in practice, the available CSIT suffers from delay-induced error due to the channel temporal variations. Using this outdated CSIT for precoding in SM systems causes interference among the subchannels. Performance of the decorrelator, minimum mean squared error (MMSE) and successive interference cancelation (SIC) receivers is analyzed as the reliability of the available CSIT varies. Explicit expressions for the signal to interference-plus-noise ratio (SINR) and the mean squared error (MSE) are derived. Simulation results are provided to illustrate the significant performance gain achieved by precoding even with a moderate amount of correlation between the available outdated channel estimate and the current channel.
  • Keywords
    MIMO communication; channel coding; channel estimation; correlation methods; fading channels; least mean squares methods; multiplexing; radio receivers; singular value decomposition; MRxMT flat-fading MIMO channel; MIMO receiver; channel estimation; channel state information; delay-induced error; interference-plus-noise ratio; minimum mean squared error; performance analysis; precoder; singular value decomposition; spatial multiplexing; successive channel interference cancellation receiver; Channel state information; Decorrelation; Delay; Interference cancellation; MIMO; Performance analysis; Samarium; Silicon carbide; Singular value decomposition; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    1-4244-1063-3
  • Electronic_ISBN
    1-4244-1037-1
  • Type

    conf

  • DOI
    10.1109/CISS.2007.4298282
  • Filename
    4298282