• DocumentCode
    933432
  • Title

    A tree-scattering model for improved propagation prediction in urban microcells

  • Author

    De Jong, Yvo L C ; Herben, Matti H A J

  • Author_Institution
    Eindhoven Univ. of Technol., Netherlands
  • Volume
    53
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    503
  • Lastpage
    513
  • Abstract
    This paper presents a model for the scattering of radiowaves from the canopy of a single tree. The canopy is modeled as a cylindrical volume containing randomly distributed and oriented cylinders, representing the branches, and thin disks, representing the leaves. A simple expression for the incoherent scattered field outside the canopy is obtained using Twersky´s multiple scattering theory. This expression is shown to agree well with results of scattering measurements on a live tree typical of those found in urban environments. The scattering model can be readily incorporated in ray-based propagation prediction tools that assist the planning of microcellular radio networks. This involves the use of so-called tree-scattered rays, which interact at the tree centers. Path loss predictions generated with the aid of the new model are shown and compared with measured data to illustrate the considerable improvement in prediction accuracy that can be achieved in realistic urban microcellular scenarios by taking into account the scatter from trees.
  • Keywords
    3G mobile communication; electromagnetic wave scattering; microcellular radio; radiowave propagation; 1.9 GHz; Twersky multiple scattering theory; microcellular radio networks; path loss model; propagation prediction; radiowave scattering; tree canopy; tree-scattered rays; tree-scattering model; urban microcells; Accuracy; Diffraction; Loss measurement; Microcell networks; Mobile communication; Predictive models; Radio network; Radio propagation; Ray tracing; Scattering;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2004.823493
  • Filename
    1275714