• DocumentCode
    2652682
  • Title

    On the channel statistics in Hybrid ARQ systems for correlated channels

  • Author

    Levorato, Marco ; Badia, Leonardo ; Zorzi, Michele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    This paper discusses a result for error control techniques based on retransmissions, most notably hybrid automatic repeat request schemes. We assume that the underlying coding technique is described by the so-called reliable region. Under this assumption, we derive the channel distribution after a frame is either acknowledged or discarded. This is derived within an entirely analytical framework, where we show that such a distribution can be found as the result of an iterative process. Remarkably, this distribution is not the same as the steady-state channel distribution, and can be significantly different from it. Thus, using one instead of the other can lead to evaluation errors, which instead are avoided by our model.
  • Keywords
    automatic repeat request; channel coding; error correction codes; forward error correction; iterative methods; channel coding; channel distribution; channel statistics; communication channels; correlated channels; error control techniques; forward error correction; hybrid automatic repeat request schemes; iterative process; reliable region; Automatic repeat request; Conferences; Decoding; Error analysis; Error correction; Error correction codes; Forward error correction; Information theory; Statistics; Steady-state; Channel coding; automatic repeat request; communication channels; error correction; forward error correction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351471
  • Filename
    5351471