• DocumentCode
    2940120
  • Title

    Low Complexity Encoding for Network Codes

  • Author

    Jaggi, Sidharth ; Cassuto, Yuval ; Effros, Michelle

  • Author_Institution
    Lab. of Inf. & Decision Sci., Massachusetts Inst. of Technol., Cambridge, MA
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    In this paper we consider the per-node run-time complexity of network multicast codes. We show that the randomized algebraic network code design algorithms described extensively in the literature result in codes that on average require a number of operations that scales quadratically with the block-length m of the codes. We then propose an alternative type of linear network code whose complexity scales linearly in m and still enjoys the attractive properties of random algebraic network codes. We also show that these codes are optimal in the sense that any rate-optimal linear network code must have at least a linear scaling in run-time complexity
  • Keywords
    algebraic codes; computational complexity; linear codes; multicast communication; random codes; telecommunication networks; linear network code; low complexity encoding; network multicast codes; randomized algebraic network code; run-time complexity; Algorithm design and analysis; Arithmetic; Capacity planning; Character generation; Circuits; Encoding; Laboratories; Linear code; Multicast algorithms; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261594
  • Filename
    4035917