• DocumentCode
    2505784
  • Title

    Near-optimal joint selection of transmit and receive antennas for MIMO systems

  • Author

    Naeem, M. ; Lee, D.C.

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    572
  • Lastpage
    577
  • Abstract
    In this paper, we present a real-time low-complexity joint transmit and receive antenna selection algorithm for MIMO systems. We apply ant colony optimization (ACO) to the joint antenna selection problem. The computational complexity of exhaustive search in this problem grows exponentially with the number of transmit and receive antennas. The proposed ACO for joint antenna selection has a low computational complexity, and its effectiveness is verified through simulation results.
  • Keywords
    MIMO communication; communication complexity; optimisation; receiving antennas; transmitting antennas; ACO; MIMO system; ant colony optimization; computational complexity; near-optimal joint selection; receive antenna selection algorithm; transmit antenna; Ant colony optimization; Channel capacity; Computational complexity; Computational modeling; MIMO; Radio frequency; Receiving antennas; Transmitters; Transmitting antennas; Wireless communication; Ant Colony Optimization; Joint antenna selection; MIMO; wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
  • Conference_Location
    Icheon
  • Print_ISBN
    978-1-4244-4521-9
  • Electronic_ISBN
    978-1-4244-4522-6
  • Type

    conf

  • DOI
    10.1109/ISCIT.2009.5341182
  • Filename
    5341182