• DocumentCode
    740400
  • Title

    Generalized Cut-Set Bounds for Broadcast Networks

  • Author

    Salimi, Amir ; Tie Liu ; Shuguang Cui

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    61
  • Issue
    6
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2983
  • Lastpage
    2996
  • Abstract
    An explicit characterization of the capacity region of the general network coding problem is one of the best known open problems in information theory. A simple set of bounds that is often used in the literature to show that certain rate tuples are infeasible are based on the graph-theoretic notion of cut. The standard cut-set bounds, however, are known to be loose in general when there are multiple messages to be communicated in the network. This paper focuses on broadcast networks, for which the standard cut-set bounds are closely related to union as a specific set operation to combine different simple cuts of the network. A new set of explicit network coding bounds, which combine different simple cuts of the network via a variety of set operations (not just the union), are established via their connections to extremal inequalities for submodular functions. The tightness of these bounds are demonstrated via applications to combination networks.
  • Keywords
    broadcast communication; graph theory; information theory; network coding; broadcast networks; capacity region; explicit network coding bounds; extremal inequality; generalized cut-set bounds; graph-theoretic notion; information theory; multiple messages; network coding problem; submodular functions; Encoding; Entropy; Gold; Network coding; Standards; Unicast; Broadcast networks; entropy inequalities; network coding bounds; submodular functions;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2426184
  • Filename
    7094316