• DocumentCode
    2137599
  • Title

    Downlink interference analytical predictions under shadowing within irregular multi-cell deployments

  • Author

    Kaddour, Fatima Zohra ; Denis, Benoit ; Ktenas, Dimitri

  • Author_Institution
    CEA-Leti Minatec, 17 rue des martyrs F-38054, Grenoble, France
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1649
  • Lastpage
    1654
  • Abstract
    This paper describes a new analytical model based on stochastic geometry, which predicts the Inter-cell Interference (ICI) level suffered by User Equipments (UEs) in downlink (DL) Heterogeneous Networks (HetNets) according to their locations. The HetNet is modeled with stochastic geometry. More specifically, the proposed model relies on the Poisson Point Process (PPP) formalism (and its large arsenal of tools) to derive closed forms for location-dependent ICI under realistic propagation channel assumptions, including both fast fading and shadowing. Since the ICI level depends on the deployment type, both cochannel allocation and a separate frequency band allocation are investigated. Analytical models are thus derived for/regarding the median value of the co-channel interference and the cotier interference. The latter predictions are used to build 2D interference maps (i.e. with estimated ICI level at each pixel of the area of interest), which could be subsequently beneficial to location-based Radio Resource Management (RRM) or ICI coordination/cancellation algorithms in a real system. We provide herein a few illustrations in LTE-Advanced (LTE-A) standardcompliant scenarios, while discussing the “spatial reliability” of this model depending on key input parameters and working assumptions.
  • Keywords
    Analytical models; Base stations; Downlink; Interchannel interference; Shadow mapping; Wireless communication; K-tier heterogeneous networks; Long Term Evolution; inter-cell interference; interference map; stochastic geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248561
  • Filename
    7248561