• DocumentCode
    1136276
  • Title

    Linear network coding

  • Author

    Li, Shuo-Yen Robert ; Yeung, Raymond W. ; Cai, Ning

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China
  • Volume
    49
  • Issue
    2
  • fYear
    2003
  • Firstpage
    371
  • Lastpage
    381
  • Abstract
    Consider a communication network in which certain source nodes multicast information to other nodes on the network in the multihop fashion where every node can pass on any of its received data to others. We are interested in how fast each node can receive the complete information, or equivalently, what the information rate arriving at each node is. Allowing a node to encode its received data before passing it on, the question involves optimization of the multicast mechanisms at the nodes. Among the simplest coding schemes is linear coding, which regards a block of data as a vector over a certain base field and allows a node to apply a linear transformation to a vector before passing it on. We formulate this multicast problem and prove that linear coding suffices to achieve the optimum, which is the max-flow from the source to each receiving node.
  • Keywords
    directed graphs; linear codes; multicast communication; telecommunication network routing; acyclic network; communication network; directed multigraph; information rate; linear network coding; linear transformation; max-flow bound; multicast mechanisms optimization; network nodes; network routing; source nodes multicast information; vector; Channel capacity; Communication networks; Communication switching; Conferences; Information rates; Information theory; Network coding; Routing; Spread spectrum communication; Vectors;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2002.807285
  • Filename
    1176612