• DocumentCode
    2947097
  • Title

    LDPC code optimization based on Tanner graph mutations

  • Author

    Broulim, Jan ; Georgiev, Vjaceslav ; Moldaschl, Jan ; Palocko, Lukas

  • Author_Institution
    Fac. of Electr. Eng., Univ. of West Bohemia, Pilsen, Czech Republic
  • fYear
    2013
  • fDate
    26-28 Nov. 2013
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    The paper presents LDPC error correcting code optimization based on Tanner graph mutations. A statistical experiment focused on a heuristic LDPC code construction was performed with the genetic algorithm. The algorithm used is briefly described. Short wordlength LDPC code optimization was simulated. Results of these simulations are summarized in this paper.
  • Keywords
    error correction codes; genetic algorithms; graph theory; parity check codes; statistical analysis; Tanner graph mutations; error correcting code; genetic algorithm; heuristic LDPC code construction; short wordlength LDPC code optimization; statistical experiment; Algorithm design and analysis; Bit error rate; Error correction codes; Genetic algorithms; Next generation networking; Optimization; Parity check codes; FEC; LDPC; genetic optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum (TELFOR), 2013 21st
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-1419-7
  • Type

    conf

  • DOI
    10.1109/TELFOR.2013.6716251
  • Filename
    6716251