• DocumentCode
    1451945
  • Title

    Refined Coding Bounds and Code Constructions for Coherent Network Error Correction

  • Author

    Yang, Shenghao ; Yeung, Raymond W. ; Ngai, Chi Kin

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
  • Volume
    57
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    1409
  • Lastpage
    1424
  • Abstract
    Coherent network error correction is the error-control problem in network coding with the knowledge of the network codes at the source and sink nodes. With respect to a given set of local encoding kernels defining a linear network code, we obtain refined versions of the Hamming bound, the Singleton bound, and the Gilbert-Varshamov bound for coherent network error correction. Similar to its classical counterpart, this refined Singleton bound is tight for linear network codes. The tightness of this refined bound is shown by two construction algorithms of linear network codes achieving this bound. These two algorithms illustrate different design methods: one makes use of existing network coding algorithms for error-free transmission and the other makes use of classical error-correcting codes. The implication of the tightness of the refined Singleton bound is that the sink nodes with higher maximum flow values can have higher error correction capabilities.
  • Keywords
    Hamming codes; error correction codes; information theory; linear codes; network coding; Gilbert-Varshamov bound; Hamming bound; Singleton bound; code constructions; coherent network error correction; error-control problem; linear network code; network coding; refined coding bounds; Algorithm design and analysis; Decoding; Encoding; Error correction; Error correction codes; Kernel; Network coding; Gilbert–Varshamov bound; Hamming bound; Singleton bound; network code construction; network coding; network error correction;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2106930
  • Filename
    5714283