• DocumentCode
    3208549
  • Title

    Randomized Progressive Edge-Growth (RandPEG)

  • Author

    Venkiah, Auguste ; Declercq, David ; Poulliat, Charly

  • Author_Institution
    CNRS, Univ. Cergy-Pontoise, Cergy-Pontoise
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    283
  • Lastpage
    287
  • Abstract
    The progressive edge-growth (PEG) construction is a well known algorithm for constructing bipartite graphs with good girth properties. In this paper, we propose some improvements in the PEG algorithm which greatly improve the girth properties of the resulting graphs: given a graph size, they increase the girth g achievable by the algorithm, and when the girth cannot be increased, our modified algorithm minimizes the number of cycles of length g. First, we consider regular column-weight two graphs, which are a class of graphs used for the design of non-binary LDPC codes: for a given target girth gt, this new instance of the PEG algorithm allows to construct graphs with the minimal size such that a graph of girth gt exists, which is the best result one might hope for. We illustrate the interest of such minimal constructions with simulation results. Then, we illustrate the usefulness of our algorithm for constructing regular binary LDPC codes that perform well in the error floor region.
  • Keywords
    graph theory; parity check codes; bipartite graph construction; error floor region; graph size; nonbinary LDPC codes; randomized progressive edge-growth; regular column-weight two graph; Algorithm design and analysis; Belief propagation; Bipartite graph; Floors; Iterative algorithms; Iterative decoding; Niobium; Parity check codes; Turbo codes; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Related Topics, 2008 5th International Symposium on
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2862-5
  • Electronic_ISBN
    978-1-4244-2863-2
  • Type

    conf

  • DOI
    10.1109/TURBOCODING.2008.4658712
  • Filename
    4658712