• DocumentCode
    2769427
  • Title

    Hybrid Genetic Algorithm for Joint Precoding and Transmit Antenna Selection in Multiuser MIMO Systems with Limited Feedback

  • Author

    Huang, Shen-Chia ; Fang, Wen-Hsien ; Chen, Hung-Shiou ; Chen, Yie-Tarng

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To alleviate the interference while lowering the hardware cost such as the RF chains associated with antennas in the downlink of multiuser multi-input multi-output (MIMO) systems with limited feedback, this paper presents a simple, yet effective approach for joint precoding and transmit antenna selection with the assistance of the genetic algorithm (GA). To overcome the enormous amount of search called for, a novel variant of the conventional GA is addressed, where each chromosome consists of a bit string for the precoding vector selection and an integer string for the transmit antenna selection. A new crossover operation and a new mutation operation are also considered for the new chromosome. Conducted simulations show that the new approach yields close performance as the exhaustive search approach but with substantially reduced computational complexity.
  • Keywords
    MIMO communication; genetic algorithms; precoding; transmitting antennas; GA; hybrid genetic algorithm; interference alleviation; joint precoding; multiinput multioutput systems; multiuser MIMO systems; transmit antenna selection; Antenna feeds; Biological cells; Costs; Feedback; Genetic algorithms; Hardware; MIMO; Radio frequency; Radiofrequency interference; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
  • Conference_Location
    Taipei
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2518-1
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2010.5493745
  • Filename
    5493745