• DocumentCode
    1632862
  • Title

    Optimal Precoding for Orthogonalized Spatial Multiplexing in MIMO Wireless Systems

  • Author

    Kim, Young-Tae ; Lee, Heunchul ; Park, Seokhwan ; Lee, Inkyu

  • Author_Institution
    Sch. of Electr. Eng., Korea Univ., Seoul
  • fYear
    2008
  • Firstpage
    4739
  • Lastpage
    4743
  • Abstract
    This paper proposes a new precoding algorithm for orthogonalized spatial multiplexing (OSM) systems over flat-fading multiple-input multiple-output (MIMO) channels. The OSM scheme was recently introduced for closed-loop MIMO systems which allows single symbol decodability for maximum likelihood detection. To further improve the performance in OSM systems, we propose a new precoding method. For identifying the parameters of a precoder, we introduce a partitioning approach on the minimum Euclidean distance between constellation points in the effective channel. Also, it is shown that two real value parameters and one bit are required for feedback information in 4-QAM systems. Simulation results demonstrate that our precoding algorithm allows us to significantly improve the system performance with small increase of feedback values. We also confirm through simulations that the performance of the proposed scheme is the same as the optimum closed-loop MIMO systems.
  • Keywords
    MIMO communication; feedback; multiplexing; precoding; quadrature amplitude modulation; wireless sensor networks; MIMO wireless system; QAM system; feedback information; flat-fading multiple-input multiple-output channels; minimum Euclidean distance; optimal precoding; orthogonalized spatial multiplexing; Euclidean distance; Feedback; MIMO; Maximum likelihood decoding; Maximum likelihood detection; OFDM; Quadrature phase shift keying; Symmetric matrices; System performance; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.888
  • Filename
    4533924