• DocumentCode
    3179655
  • Title

    Using random shape theory to model blockage in random cellular networks

  • Author

    Bai, Tianyang ; Vaze, Rahul ; Heath, Robert W., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • fDate
    22-25 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Shadow fading is severe in downtown areas where buildings are densely located. This paper proposes a stochastic model to quantify blockages due to shadowing, using methods from random shape theory. Buildings inside a cell are modeled as line segments with random sizes and orientations, with locations from a spatial Poisson point process. Dense urban areas can be modeled by the parameters of the line process. Based on this construction, the distribution of the power loss caused by shadowing in a particular path is expressed in closed form. The distribution can be used to compute several performance metrics of interest in random systems. Simulations illustrate coverage and connectivity as a function of the metrics of blockages, such as the density and the average size of buildings.
  • Keywords
    cellular radio; random processes; stochastic processes; blockage modelling; building average size; building density; line process; line segments; power loss distribution; random cellular networks; random shape theory; random systems; shadow fading; spatial Poisson point process; stochastic model; Buildings; Computational modeling; Interference; Random variables; Shadow mapping; Shape; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications (SPCOM), 2012 International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4673-2013-9
  • Type

    conf

  • DOI
    10.1109/SPCOM.2012.6290250
  • Filename
    6290250