• DocumentCode
    1779643
  • Title

    Linear index coding and representable discrete polymatroids

  • Author

    Muralidharan, Vijayvaradharaj T. ; Rajan, B. Sundar

  • Author_Institution
    Dept. of ECE, Indian Inst. of Sci., Bangalore, India
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    486
  • Lastpage
    490
  • Abstract
    Discrete polymatroids are the multi-set analogue of matroids. In this paper, we explore the connections between linear index coding and representable discrete polymatroids. The index coding problem involves a sender which generates a set of messages X = {x1, x2, ... xk} and a set of receivers R which demand messages. A receiver R ∈ R is specified by the tuple (x,H) where x ∈ X is the message demanded by R and H ⊆ X {x} is the side information possessed by R. It is first shown that a linear solution to an index coding problem exists if and only if there exists a representable discrete polymatroid satisfying certain conditions which are determined by the index coding problem considered. El Rouayheb et. al. showed that the problem of finding a multi-linear representation for a matroid can be reduced to finding a perfect linear index coding solution for an index coding problem obtained from that matroid. Multi-linear representation of a matroid can be viewed as a special case of representation of an appropriate discrete polymatroid. We generalize the result of El Rouayheb et. al. by showing that the problem of finding a representation for a discrete polymatroid can be reduced to finding a perfect linear index coding solution for an index coding problem obtained from that discrete polymatroid.
  • Keywords
    combinatorial mathematics; linear codes; matrix algebra; linear index coding problem; matroid multilinear representation; matroids multiset analogue; multilinear representation; representable discrete polymatroids; Encoding; Indexes; Network coding; Receivers; Vectors; Zirconium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874880
  • Filename
    6874880