• DocumentCode
    2840949
  • Title

    Linear prediction of time-varying MIMO systems using Givens rotations

  • Author

    Godana, Bruhtesfa ; Ekman, Torbjörn

  • Author_Institution
    Dept. of Electron. & Telecommun., NTNU, Trondheim, Norway
  • fYear
    2011
  • fDate
    26-29 June 2011
  • Firstpage
    371
  • Lastpage
    375
  • Abstract
    MIMO systems require eigenmode information at the transmitter to exploit the multiplexing gain of the channel. In practice, the eigenmode information available at the transmitter after feedback is noisy and outdated. One of the efficient feedback methods used in MIMO systems involves the decomposition of unitary matrices into Givens rotations. This entails the possibility to update the eigenmodes by predicting the Givens rotations. In this paper, two MIMO precoder prediction schemes based on channel prediction at the mobile station (MS) and Givens parameters prediction at the base station (BS) are proposed. The system capacity of the two schemes is evaluated and compared by using a simulation on a time-varying MIMO channel. Simulations show that both prediction schemes improve the system performance; however, channel prediction at the MS has better performance than Givens prediction at the BS. Despite a lower performance, Givens prediction at the BS reduces the number of parameters to be tracked and is suitable for variable delay systems.
  • Keywords
    MIMO communication; eigenvalues and eigenfunctions; matrix algebra; time-varying channels; Givens rotation; MS; channel prediction; eigenmode; linear prediction; mobile station; multiplexing gain; time-varying MIMO systems; unitary matrices; Channel estimation; Correlation; Helium; MIMO; Matrix decomposition; Signal to noise ratio; Transmitters; Givens rotations; MIMO systems; eigenvector prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2011 IEEE 12th International Workshop on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1948-3244
  • Print_ISBN
    978-1-4244-9333-3
  • Electronic_ISBN
    1948-3244
  • Type

    conf

  • DOI
    10.1109/SPAWC.2011.5990433
  • Filename
    5990433