• DocumentCode
    2374576
  • Title

    Performance analysis of spatially coupled codes over the correlated erasure channel

  • Author

    Ashrafi, R.A. ; Pusane, Ali E.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Desirable characteristics of spatially-coupled low-density parity-check (LDPC) codes including low implementation complexity, low-delay, and close-to-optimal performance over a wide variety of channels make them a noticeable candidate for the next-generation wireless communication standards. However, error performance of the sliding window decoding scheme used to decode these codes is considerably degraded over channels with memory, such as the burst erasure channel. Traditionally, communication over channels with memory is achieved through the use of block interleavers but as it introduces a large amount of delay, it is not always a viable option. In this paper, employing a convolutional interleaver which benefits from the inherent convolutional nature of the spatially-coupled codes with very low overall delay is considered. The performance of the proposed combination is analyzed using the density evolution technique. The performance improvement of using a convolutional inter-leaver is demonstrated as a function of the added interleaving delay in terms of iterative decoding thresholds.
  • Keywords
    convolutional codes; iterative decoding; next generation networks; parity check codes; LDPC codes; block interleavers; burst erasure channel; convolutional inter-leaver; convolutional interleaver; correlated erasure channel; inherent convolutional nature; interleaving delay; iterative decoding; low-density parity-check codes; next-generation wireless communication standards; sliding window decoding; spatially coupled codes; Convolutional codes; Delays; Encoding; Iterative decoding; Maximum likelihood decoding; Convolutional interleaver; Correlated erasure channel; Density evolution; Spatially coupled codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531268
  • Filename
    6531268