• DocumentCode
    3522519
  • Title

    A MIMO channel perturbation analysis for robust bit loading

  • Author

    Larsen, Michael D. ; Swindlehurst, A.L.

  • Author_Institution
    Brigham Young Univ., Provo, UT
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2825
  • Lastpage
    2828
  • Abstract
    In narrowband multiple-input multiple-output (MIMO) communication systems, when the channel state information (CSI) is known perfectly at the transmitter and the receiver, techniques such as waterfilling may use the singular value decomposition to separate the MIMO channel into independent single-input single-output subchannels. The signal-to-noise ratios of these subchannels are easily found, and, therefore, so are the subchannel bit allocations. In practice, perfect CSI is difficult to obtain. Imperfect CSI results in subchannel coupling and co-channel interference. In this paper, simple first-order expressions are presented for the signal and interference/noise powers for each subchannel for the imperfect CSI case. These expressions may be used to obtain more realistic subchannel bit allocations, allowing for fewer channel outages. Numerical simulations demonstrate the applicability and usefulness of the derived expressions.
  • Keywords
    MIMO communication; channel allocation; channel estimation; cochannel interference; perturbation techniques; singular value decomposition; wireless channels; MIMO channel perturbation analysis; channel state information; co-channel interference; multiple-input multiple-output system; numerical simulation; receiver; single-input single-output channel; singular value decomposition; subchannel bit allocation; transmitter; Bit rate; Channel state information; Interchannel interference; MIMO; Narrowband; Numerical simulation; Robustness; Signal to noise ratio; Singular value decomposition; Transmitters; Approximation methods; MIMO systems; Resource management; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960211
  • Filename
    4960211