• DocumentCode
    2026950
  • Title

    On Random Network Coding for Multicast

  • Author

    Campo, A.T. ; Grant, A.

  • Author_Institution
    Univ. Pompeu Fabra, Barcelona
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    1591
  • Lastpage
    1595
  • Abstract
    Random linear network coding is a particularly decentralized approach to the multicast problem. Use of random network codes introduces a non-zero probability however that some sinks will not be able to successfully decode the required sources. One of the main theoretical motivations for random network codes stems from the lower bound on the probability of successful decoding reported by Ho et. al. (2003). This result demonstrates that all sinks in a linearly solvable network can successfully decode all sources provided that the random code field size is large enough. This paper develops a new bound on the probability of successful decoding.
  • Keywords
    linear codes; multicast communication; probability; multicast; nonzero probability; random linear network coding; Decoding; Encoding; Galois fields; Linear code; Network coding; Polynomials; Signal processing; Terminology; Throughput; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557449
  • Filename
    4557449