• DocumentCode
    3267321
  • Title

    Computing Efficient Antenna Selection Algorithms for MIMO-OFDM Systems

  • Author

    Chu, Shan ; Zhang, Zhaoyang ; Yu, Guanding

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou
  • Volume
    2
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    1007
  • Lastpage
    1011
  • Abstract
    In MIMO-OFDM systems, antenna selection algorithms are used to find a subset of transmit antennas subject to channel variation, which provide the highest system capacity or the best BER performance with a given low computational complexity. In this paper, the optimum transmit antenna selection algorithm for MIMO-OFDM systems is firstly presented, then two suboptimum selection algorithms are proposed, and a computing-effective selection algorithm is finally developed. The algorithm segments OFDM subcarriers into groups, selects the best subsets for one representative subcarrier in each group and finally combines the selection results to obtain the antenna subset for an OFDM symbol. Simulation results demonstrate that the proposed antenna selection scheme can achieve a capacity very close to the optimum case with a relatively low computational complexity
  • Keywords
    MIMO communication; OFDM modulation; channel capacity; error statistics; transmitting antennas; BER performance; MIMO-OFDM system; bit error rate; computing-effective selection algorithm; multiple input multiple output system; orthogonal frequency division multiplexing; system capacity; transmit antenna selection algorithm; Computational complexity; Computational modeling; Costs; Diversity reception; Fading; MIMO; OFDM; Radio frequency; Receiving antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.284819
  • Filename
    4064060