• DocumentCode
    3159586
  • Title

    Reducing the Feedback Overhead for Adaptive MIMO Multicarrier Transmission

  • Author

    Zeng, Erlin ; Zhu, Shihua ; Xu, Ming

  • Author_Institution
    Xi´´an Jiaotong Univ., Xian
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    1126
  • Lastpage
    1130
  • Abstract
    Appropriate scheduling and link adaptation are key techniques to realize the significant throughput gain for systems which exploit multiple-input multiple-output (MIMO) in conjunction with orthogonal frequency division multiplexing (OFDM). In many cases, however, achieving this gain requires feedback of the channel quality indication (CQI) information to the transmitter, which may lead to high overhead. In this paper, a method of reducing the total amount of feedback for adaptive multistream multicarrier transmission is proposed. This method can make flexible use of the fading channel variance by permuting the original CQI sequences according to certain permutation pattern, which forms the input of the CQI compression module. Through analysis and simulations, we find that the optimal permutation that minimize the amount of the feedback is determined by the fading parameters such as the coherent bandwidth and the antenna number, as well as by the multistream transmission scheme exploited.
  • Keywords
    MIMO communication; OFDM modulation; fading channels; feedback; scheduling; CQI compression module; adaptive MIMO multicarrier transmission; antenna number; channel quality indication; coherent bandwidth; fading channel; feedback overhead; link adaptation; optimal permutation; orthogonal frequency division multiplexing; scheduling; Analytical models; Antenna feeds; Bandwidth; Fading; Feedback; MIMO; OFDM; Throughput; Transmitters; Transmitting antennas; MIMO; OFDM; feedback reduction; multistream;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469584
  • Filename
    4469584