• DocumentCode
    2128302
  • Title

    Linear dispersion code with an orthogonal row structure for simplifying sphere decoding

  • Author

    Dai, X.G. ; Cheung, S.W. ; Yuk, T.I.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    1762
  • Lastpage
    1765
  • Abstract
    In this paper, we propose a family of full diversity fast decodable Linear Dispersion Codes (LDCs) for use in MIMO systems. These codes have as many as possible the orthogonal rows in the dispersion matrices of the LDC. One of the main advantages of this family of LDCs is that it can be used in MIMO systems with arbitrary numbers of transmitted and received antennas and arbitrary transmission rates. We also develop a simplified Sphere Decoding (SD) algorithm to significantly reduce the decoding complexity for this family of LDCs. Monte Carlo simulation shows that the optimum LDCs with or without this orthogonal structure have nearly identical bit-error rate (BER) performances, but the complexity can be significantly reduced. For a 2×4 MIMO system transmitting 8 QPSK symbols in a block length of 4, the reduction is about 28-52%, and for a 3×3 MIMO system transmitting 10 QPSK symbols in a block length of 6, the reduction is about 28-49%.
  • Keywords
    MIMO communication; Monte Carlo methods; antenna arrays; error statistics; linear codes; orthogonal codes; quadrature phase shift keying; BER performance; MIMO systems; Monte Carlo simulation; QPSK symbols; Sphere Decoding; arbitrary transmission rates; bit-error rate; linear dispersion code; orthogonal row structure; Bit error rate; Block codes; Capacity planning; Diversity reception; Error probability; MIMO; Maximum likelihood decoding; Quadrature phase shift keying; Receiving antennas; Transmitting antennas; MIMO; Sphere decoding; complexity; orthogonal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5449896
  • Filename
    5449896