• DocumentCode
    56079
  • Title

    The Complexity of Network Coding With Two Unit-Rate Multicast Sessions

  • Author

    Wentu Song ; Kai Cai ; Rongquan Feng ; Chau Yuen

  • Author_Institution
    Sch. of Math. Sci., Peking Univ., Beijing, China
  • Volume
    59
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    5692
  • Lastpage
    5707
  • Abstract
    The encoding complexity of network coding for single multicast networks has been intensively studied from several aspects: e.g., the time complexity, the required number of encoding links, and the required field size for a linear code solution. However, these issues as well as the solvability are less understood for networks with multiple multicast sessions. Recently, Wang and Shroff showed that the solvability of networks with two unit-rate multicast sessions (2-URMS) can be decided in polynomial time . In this paper, we prove that for the 2-URMS networks: 1) the solvability can be determined with time O(|E|); 2) a solution can be constructed with time O(|E|); 3) an optimal solution can be obtained in polynomial time; 4) the number of encoding links required to achieve a solution is upper-bounded by max{3,2N - 2}; and 5) the field size required to achieve a linear solution is upper-bounded by max{2, ⌊√{2N-7/4}+1/2⌋}, where |E| is the number of links and N is the number of sinks of the underlying network. Both bounds are shown to be tight.
  • Keywords
    communication complexity; linear codes; multicast communication; network coding; 2-URMS network; encoding complexity; encoding links; linear code; multiple multicast session; network coding; single multicast network; time complexity; unit-rate multicast session; Linear codes; Network coding; Polynomials; Time complexity; Vectors; Encoding complexity; network coding; region decomposition;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2262492
  • Filename
    6515150