• DocumentCode
    1779566
  • Title

    The sum-rate capacity of general degraded interference networks with arbitrary topologies

  • Author

    Farsani, Reza K.

  • Author_Institution
    Sch. of Cognitive Sci., Inst. for Res. in Fundamental Sci. (IPM), Tehran, Iran
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    276
  • Lastpage
    280
  • Abstract
    In this paper, a full characterization of the sum-rate capacity is established for the general degraded single-hop communication networks with any arbitrary topology. It is proved that a successive decoding scheme is sum-rate optimal for these networks. Also, it is shown that the transmission of only a certain subset of messages is sufficient to achieve the sum-rate capacity in such networks. An algorithm is presented to determine this subset of messages explicitly. This algorithm is described using novel graphical illustrations. The sum-rate expression for the degraded networks is then used to derive a unified outer bound on the sum-rate capacity of arbitrary non-degraded networks. Some variations of the degraded networks are given for which the derived outer bound is sum-rate optimal. Specifically, for the first time, network scenarios are identified where the incorporation of both successive decoding and treating interference as noise achieves their sum-rate capacity.
  • Keywords
    decoding; radiofrequency interference; telecommunication network topology; arbitrary nondegraded networks; arbitrary topology; derived outer bound; general degraded interference networks; general degraded single-hop communication networks; graphical illustrations; message subset; successive decoding scheme; sum-rate capacity; Decoding; Encoding; Interference; Receivers; Satellites; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874838
  • Filename
    6874838