• DocumentCode
    1373553
  • Title

    New Sequences of Capacity Achieving LDPC Code Ensembles Over the Binary Erasure Channel

  • Author

    Saeedi, Hamid ; Banihashemi, Amir H.

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • Volume
    56
  • Issue
    12
  • fYear
    2010
  • Firstpage
    6332
  • Lastpage
    6346
  • Abstract
    In this paper, new sequences (λn, ρn) of capacity achieving low-density parity-check (LDPC) code ensembles over the binary erasure channel (BEC) is introduced. These sequences include the existing sequences by Shokrollahi et al. as a special case. For a fixed code rate R, in the set of proposed sequences, Shokrollahi´s sequences are superior to the rest of the set in that for any given value of n, their threshold is closer to the capacity upper bound 1 - R. For any given δ, 0 <;; δ <;; 1 - R, however, there are infinitely many sequences in the set that are superior to Shokrollahi´s sequences in that for each of them, there exists an integer number n0, such that for any n > n0, the sequence (λn, ρn) requires a smaller maximum variable node degree as well as a smaller number of constituent variable node degrees to achieve a threshold within δ-neighborhood of the capacity upper bound 1 - R. Moreover, it is proven that the check-regular subset of the proposed sequences are asymptotically quasi-optimal, i.e., their decoding complexity increases only logarithmically with the relative increase of the threshold. A stronger result on asymptotic optimality of some of the proposed sequences is also established.
  • Keywords
    channel coding; decoding; parity check codes; sequences; LDPC code ensembles; binary erasure channel; decoding complexity; low-density parity-check code; Complexity theory; Decoding; Parity check codes; Sequences; Upper bound; Asymptotically optimal sequences; binary erasure channel (BEC); capacity achieving sequences; check regular ensembles; low-density parity-check codes (LDPC);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2053874
  • Filename
    5625640