• DocumentCode
    3077986
  • Title

    Training Design for BICM-MIMO Systems in Block-Fading Channels

  • Author

    Andalibi, Zohreh ; Nguyen, Ha H. ; Salt, J. Eric

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to improve bandwidth efficiency and bit error rate (BER) performance, a new training scheme is proposed for bit-interleaved coded modulation in multiple-input multiple-output (BICM-MIMO) systems. Typically, in a block fading channel, the training overhead used for obtaining channel knowledge is proportional to a power of two of the number of transmit antennas. However, this overhead can be reduced by embedding pilot symbols within data symbols before precoding. The values and positions of pilot symbols are theoretically found by minimizing the Cramer-Rao bound (CRB) on channel estimation error. Computer simulations are presented to demonstrate the advantage of the proposed scheme over other training methods, in terms of both the mean square error (MSE) of the channel estimation and the system´s BER.
  • Keywords
    MIMO communication; antenna arrays; channel coding; channel estimation; error statistics; fading channels; interleaved codes; mean square error methods; modulation coding; transmitting antennas; BER performance; BICM-MIMO systems; CRB; Cramer-Rao bound; MSE; bit error rate performance; bit-interleaved coded modulation; block-fading channels; channel estimation error; computer simulations; data symbols; embedding pilot symbols; mean square error; multiple-input multiple-output systems; transmit antennas; Bit error rate; Channel estimation; Demodulation; MIMO; Quadrature amplitude modulation; Training; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134045
  • Filename
    6134045