• DocumentCode
    1779935
  • Title

    Generalized sphere-packing upper bounds on the size of codes for combinatorial channels

  • Author

    Cullina, Daniel ; Kiyavash, Negar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    1266
  • Lastpage
    1270
  • Abstract
    A code for a combinatorial channel is a feasible point in an integer linear program derived from that channel. Sphere-packing upper bounds are closely related to the fractional relaxation of this program. When bounding highly symmetric channels, this formulation can often be avoided, but it is essential in less symmetric cases. We present a few low-complexity upper bounds on the value of the relaxed linear program. We also discuss a more general bound derived from the codeword constraint graph for the channel. This bound is not necessarily computationally tractable. When there is a family of channels with the same constraint graph, tractable bounds can be applied to each channel and the best bound will apply to the whole family.
  • Keywords
    channel coding; graph theory; integer programming; linear programming; codeword constraint graph; combinatorial channels; fractional relaxation; generalized sphere-packing upper bounds; integer linear program; relaxed linear program; symmetric channels; tractable bounds; Irrigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6875036
  • Filename
    6875036