• DocumentCode
    2345723
  • Title

    Statistical designs for transmission over correlated MIMO channels with linear receivers

  • Author

    Lin, Yuan-Pei ; Hsiao, Chunwei ; Li, Chien-Chang

  • Author_Institution
    Dept. Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    1880
  • Lastpage
    1884
  • Abstract
    In this paper we jointly consider statistical precoding and statistical bit allocation for transmission over correlated MIMO (multiple-input and multiple-output) channels with a linear and zero forcing receiver. Assuming the statistics of the channel is available to the transmitter, we will derive BER bounds using the statistics of subchannel error variances. The bounds are then used to design statistical pre-coder and statistical bit allocation. The combination of statistical precoding and bit allocation has great advantage over statistical precoding alone or statistical bit allocation alone. This is because the proposed precoding helps to bring out the statistical difference among the subchannels, which is then exploited by statistical bit allocation to better the performance. Simulations will be given to demonstrate that, the proposed system has significant gain over statistical designs that employs statistical precoding only or statistical bit allocation only.
  • Keywords
    MIMO communication; channel coding; error statistics; precoding; radio receivers; radio transmitters; statistical analysis; wireless channels; BER; correlated MIMO channel transmission; linear receiver; multiple-input and multiple-output; radio transmitter; statistical bit allocation; statistical precoding design; subchannel error variance; zero forcing receiver; Bit error rate; Bit rate; Correlation; MIMO; Optimization; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
  • Conference_Location
    Sydney, NSW
  • ISSN
    2166-9570
  • Print_ISBN
    978-1-4673-2566-0
  • Electronic_ISBN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2012.6362658
  • Filename
    6362658