• DocumentCode
    3592139
  • Title

    Quality of service and performance evaluation: A fluid approach for poisson wireless networks

  • Author

    Kelif, Jean-Marc ; Senecal, Stephane ; Bridon, Constant ; Coupechoux, Marceau

  • Author_Institution
    Orange Labs., Issy-les-Moulineaux, France
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The evaluation of performance and quality of service needs the modeling of wireless networks. Among the different models usually considered, the hexagonal network is the most popular. However, it requires extensive numerical computations. The Poisson network model, for which the base stations (BS) locations form a stochastic spatial Poisson process, allows to consider a non constant distance between base stations. Therefore, it characterizes more realistically operational networks. The Fluid network model, for which the interfering BS are replaced by a continuum of infinitesimal interferers, allows to establish closed-form formula for the SINR (Signal on Interference plus Noise Ratio). This model was validated by comparison with an hexagonal network. The two models establish very close results. In this paper, we show that the Fluid network model can also be used to analyze Poisson networks. Therefore, the evaluation of quality of service and performance becomes very easy, whatever the type of model, by using the analytical expression of the SINR established by considering the fluid model.
  • Keywords
    quality of service; radio networks; radiofrequency interference; stochastic processes; BS; SINR; base station; closed-form formula; fluid network model; hexagonal network; infinitesimal interferer continuum; poisson wireless network; quality of service; signal on interference plus noise ratio; stochastic spatial Poisson process; Analytical models; Base stations; Computational modeling; Fluids; Interference; Quality of service; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network of the Future (NOF), 2014 International Conference and Workshop on the
  • Type

    conf

  • DOI
    10.1109/NOF.2014.7119773
  • Filename
    7119773