• DocumentCode
    2525044
  • Title

    Multi-User MIMO Precoder Design via Genetic Search

  • Author

    Benmimoune, Mouncef ; Massicotte, Daniel

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a new precoding approach based on a genetic algorithm to search for coded codewords applied to a multi-user MIMO system. The main idea hinges on the definition of coded codewords in which no codebook is previously stored at transmitter and receiver. In this manner, the precoder aims to maximize the sum capacity in order to solve the optimization problem by searching for the best coded codewords for all users. The performance evaluation and complexity analysis show that our approach offers outstanding performance and low complexity compared with the multi-user MIMO precoding scheme based on the Grassmannian codebook. The proposed method uses a multiplier-free precoding suitable for VLSI implementation.
  • Keywords
    MIMO communication; communication complexity; genetic algorithms; multiuser channels; precoding; radio receivers; radio transmitters; Grassmannian codebook; VLSI; coded codewords; complexity analysis; genetic algorithm; multiuser MIMO; optimization problem; performance evaluation; precoder; receiver; search algorithm; transmitter; Biological cells; Complexity theory; MIMO; Receivers; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2011 IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-8328-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2011.6093164
  • Filename
    6093164