• DocumentCode
    1705358
  • Title

    Efficient interpolation of precoding matrices in MIMO-OFDM systems

  • Author

    Chou, Yu-Feng ; Sang, Tzu-Hsien

  • Author_Institution
    Dept. Electron. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One way of fully exploiting the channel capacity in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is to deploy precoding vectors derived from SVD to form parallel data pipes. Optimal precoding requires accurate channel state information for each OFDM subcarrier. This paper proposes a limited channel decomposition architecture by using an interpolation method to reduce the computation cost of precoding. In this scheme, only on the pilot subcarriers the estimated channel information is used to get SVD decomposition results, and precoding vectors on other subcarriers are obtained by an orthogonal interpolation method. The interpolation relies on an important assumption that the singular modes on adjacent subcarriers change approximately in a linear way. Numerical simulations suggests that with appropriate settings, e.g., proper FFT size and interpolation gap etc., the proposed scheme can reduce computation efficiently while only sacrifice little performance.
  • Keywords
    MIMO communication; OFDM modulation; channel capacity; interpolation; matrix algebra; precoding; singular value decomposition; vectors; MIMO-OFDM system; SVD; channel capacity; channel decomposition architecture; orthogonal interpolation method; precoding matrix interpolation interpolation; precoding vector; Argon; Heating; Interpolation; Matrix decomposition; Modulation; Signal to noise ratio; Switches; Array signal processing; Interpolation; MIMO-OFDM; SVD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2010 IEEE Eleventh International Workshop on
  • Conference_Location
    Marrakech
  • ISSN
    1948-3244
  • Print_ISBN
    978-1-4244-6990-1
  • Electronic_ISBN
    1948-3244
  • Type

    conf

  • DOI
    10.1109/SPAWC.2010.5671092
  • Filename
    5671092