• DocumentCode
    1983297
  • Title

    X-structured precoder design for spatial multiplexing MIMO systems

  • Author

    Chun-Tao Lin ; Wen-Rong Wu

  • Author_Institution
    Inst. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    3856
  • Lastpage
    3861
  • Abstract
    In multiple-input multiple-output (MIMO) transmission, precoding has been considered a promising method to improve the system performance. In general, the precoder design criterion depends on the detector used at the receiver. For the maximum-likelihood (ML) detector, the optimum precoder design criterion is equivalent to maximizing the minimum distance of received signal constellations. Several precoding methods have been developed in the literature. However, most of them use numerical searches to derive the precoders and require table look-ups in realtime applications. In this paper, we propose a simple but effective method to solve the problem. The proposed precoder has a simple closed-form expression and no tables are required to store. Simulation results show that the proposed precoder can provide almost the same performance as existing precoders.
  • Keywords
    MIMO communication; maximum likelihood decoding; maximum likelihood detection; precoding; space division multiplexing; ML detector; closed-form expression; maximum likelihood detector; minimum distance maximization; multiple-input multiple-output transmission; optimum precoder design criterion; precoding methods; realtime applications; received signal constellations; spatial multiplexing MIMO systems; structured precoder design; system performance improvement; table look-ups;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503718
  • Filename
    6503718