• DocumentCode
    1153231
  • Title

    Capacity-achieving sequences for the erasure channel

  • Author

    Oswald, Peter ; Shokrollahi, Amin

  • Author_Institution
    Lucent Technol. Bell Labs., Murray Hill, NJ, USA
  • Volume
    48
  • Issue
    12
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    3017
  • Lastpage
    3028
  • Abstract
    This paper starts a systematic study of capacity-achieving (c.a.) sequences of low-density parity-check codes for the erasure channel. We introduce a class A of analytic functions and develop a procedure to obtain degree distributions for the codes. We show various properties of this class which help us to construct new distributions from old ones. We then study certain types of capacity-achieving sequences and introduce new measures for their optimality. For instance, it turns out that the right-regular sequence is c.a. in a much stronger sense than, e.g., the Tornado sequence. This also explains why numerical optimization techniques tend to favor graphs with only one degree of check nodes.
  • Keywords
    channel capacity; graph theory; parity check codes; sequences; Tornado sequence; analytic functions; capacity-achieving sequences; convergence speed; decoding algorithm; degree distributions; distributions; erasure channel; graphs; low-density parity-check codes; numerical optimization techniques; optimality measures; right-regular sequence; Bipartite graph; Decoding; H infinity control; Information theory; Mathematics; Parity check codes; Taylor series; Tornadoes; Upper bound; Visualization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2002.805067
  • Filename
    1077796