• DocumentCode
    3059112
  • Title

    Information-theoretic capacity of clustered random networks

  • Author

    Garetto, Michele ; Nordio, Alessandro ; Chiasserini, Carla F. ; Leonardi, Emilio

  • Author_Institution
    Univ. degli Studi di Torino, Torino, Italy
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1698
  • Lastpage
    1702
  • Abstract
    We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shot-noise Cox process. We identify five different operational regimes, and for each regime we devise a communication strategy that allows to achieve a throughput featuring the same scaling exponent as the maximum theoretical capacity.
  • Keywords
    information theory; capacity scaling law; clustered ad hoc networks; clustered random networks; communication strategy; doubly stochastic shot-noise Cox process; information-theoretic capacity; maximum theoretical capacity; Ad hoc networks; Information analysis; Integral equations; Kernel; Network topology; Routing; Shape; Stochastic processes; Tail; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513236
  • Filename
    5513236