• DocumentCode
    66953
  • Title

    The Mean Interference-to-Signal Ratio and Its Key Role in Cellular and Amorphous Networks

  • Author

    Haenggi, Martin

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • Volume
    3
  • Issue
    6
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    597
  • Lastpage
    600
  • Abstract
    We introduce a simple yet powerful and versatile analytical framework for approximating the SIR distribution in the downlink of cellular systems. It is based on the mean interference-to-signal ratio and yields the horizontal gap (SIR gain) between the SIR distribution in question and a reference SIR distribution. As applications, we determine the SIR gain for base station silencing, cooperation, and lattice deployment over a baseline architecture that is based on a Poisson deployment of base stations and strongest-base station association. The applications demonstrate that the proposed approach unifies several recent results and provides a convenient framework for the analysis and comparison of future network architectures and transmission schemes, including amorphous networks where a user is served by multiple base stations and, consequently, (hard) cell association becomes less relevant.
  • Keywords
    Poisson distribution; cellular radio; cooperative communication; radio networks; SIR distribution; SIR gain; amorphous network; base station Poisson deployment; base station cooperation; base station silencing; baseline architecture; cellular network; cellular system downlink; horizontal gap; lattice deployment; mean interference-to-signal ratio; reference SIR distribution; Approximation methods; Base stations; Cellular networks; Downlink; Rayleigh channels; HetNets; Poisson point process; Stochastic geometry; cellular network; coverage; interference;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2014.2357444
  • Filename
    6897962