• DocumentCode
    2857
  • Title

    System-Level Performance of Interference Alignment

  • Author

    Mungara, Ratheesh K. ; Morales-Jimenez, David ; Lozano, Angel

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Univ. Pompeu Fabra, Barcelona, Spain
  • Volume
    14
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    1060
  • Lastpage
    1070
  • Abstract
    Capitalizing on the analytical potency of stochastic geometry and on some new ideas to model intercell interference, this paper presents analytical expressions that enable quantifying the spectral efficiency of interference alignment (IA) in cellular networks without the need for simulation. From these expressions, the benefits of IA are characterized. Even under favorable assumptions, IA is found to be beneficial only in very specific and relatively infrequent network situations, and a blanket utilization of IA is found to be altogether detrimental. Applied only in the appropriate situations, IA does bring about benefits that are significant for the users involved but relatively small in terms of average spectral efficiency for the entire system.
  • Keywords
    cellular radio; geometry; radiofrequency interference; stochastic processes; IA; average spectral efficiency; blanket utilization; cellular network; intercell interference alignment; stochastic geometry; system-level performance; Analytical models; Decoding; Geometry; Interference; Receivers; Shadow mapping; Wireless communication; Interference alignment; Poisson point process; distributed cooperation; spatial multiplexing; spectral efficiency; stochastic geometry;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2363677
  • Filename
    6928512