• DocumentCode
    2439790
  • Title

    Coding for the MIMO ARQ block-fading channel with imperfect feedback and CSIR

  • Author

    Asyhari, A. Taufiq ; Fabregas, Albert Guillen I

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • fYear
    2010
  • fDate
    Aug. 30 2010-Sept. 3 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We investigate the effects of imperfect channel knowledge and feedback in incremental-redundancy automatic-repeat request (INR-ARQ) coding systems over multiple-input multiple-output (MIMO) block-fading channels. We propose an ARQ decoder based on nearest neighbour decoding and evaluate the corresponding achievable rates. We then derive the optimal code diversity assuming that the feedback channel is modelled as a binary symmetric channel. Our main results show that the feedback link reliability must improve with the forward (transmission) signal-to-noise ratio (SNR) for the code to exploit the diversity offered by ARQ scheme. We also identify the conditions for achieving full diversity and for ARQ not helping in improving the system´s diversity.
  • Keywords
    MIMO communication; automatic repeat request; channel coding; diversity reception; fading channels; feedback; telecommunication network reliability; ARQ decoder; CSIR; MIMO ARQ block-fading channel; binary symmetric channel; feedback link reliability; forward signal-to-noise ratio; imperfect channel knowledge; imperfect feedback; incremental-redundancy automatic-repeat request coding systems; nearest neighbour decoding; optimal code diversity; Automatic repeat request; Decoding; Encoding; Error probability; Fading; MIMO; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2010 IEEE
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-4244-8262-7
  • Electronic_ISBN
    978-1-4244-8263-4
  • Type

    conf

  • DOI
    10.1109/CIG.2010.5592842
  • Filename
    5592842