• DocumentCode
    2053318
  • Title

    Convolutional network codes

  • Author

    Erez, Elona ; Feder, Meir

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    146
  • Abstract
    Convolutional network codes are considered for cyclic graphs. In CNC each node receives several streams and generates output streams whose current symbols depend on the current input symbols and previous input symbols in the node memory. A multicast CNC can be constructed using an algorithm, in order to minimize the memory and overhead, coefficients of lower polynomial degree are drawn to consideration. For CNC the overhead is the initial delay before the sinks start receiving symbols. CNC with the sequential decoder achieves good performance for some networks.
  • Keywords
    convolutional codes; graph theory; multicast communication; sequential decoding; cyclic graph; input symbol; lower polynomial degree; multicast convolutional network code; node memory; sequential decoder; Computer numerical control; Convolutional codes; Decoding; Delay effects; Electronic mail; Multicast algorithms; Polynomials; Power generation; Signal processing algorithms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365183
  • Filename
    1365183