• DocumentCode
    1450144
  • Title

    On the Hardness of Approximating Stopping and Trapping Sets

  • Author

    McGregor, Andrew ; Milenkovic, Olgica

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA, USA
  • Volume
    56
  • Issue
    4
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    1640
  • Lastpage
    1650
  • Abstract
    We prove that approximating the size of stopping and trapping sets in Tanner graphs of linear block codes, and more restrictively, the class of low-density parity-check (LDPC) codes, is NP-hard. The ramifications of our findings are that methods used for estimating the height of the error-floor of moderate- and long-length LDPC codes, based on stopping and trapping set enumeration, cannot provide accurate worst-case performance predictions for most codes.
  • Keywords
    block codes; computational complexity; graph theory; linear codes; parity check codes; LDPC codes; NP-hard; Tanner graphs; linear block codes; stopping sets; trapping sets; AWGN; Bit error rate; Block codes; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Message passing; Parity check codes; Performance loss; Low-density parity-check (LDPC) codes; NP hardness; stopping sets; trapping sets;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2040941
  • Filename
    5437429