• DocumentCode
    2229068
  • Title

    Investigation of adaptive 3D microcellular prediction tools starting from real measurements

  • Author

    Daniele, P. ; Frullone, M. ; Heiska, K. ; Riva, G. ; Carciofi, C.

  • Author_Institution
    Fondazione G. Marconi, Italy
  • Volume
    1
  • fYear
    1996
  • fDate
    29 Sep-2 Oct 1996
  • Firstpage
    468
  • Abstract
    It is well known that in a microcellular metropolitan environment the propagation mechanism is strongly affected by geometrical factors (e.g. street widths, building heights). Rigorous ray-tracing computer prediction models are nowadays capable of providing high accuracy in complex microcellular situations. As a matter of fact, the higher accuracy involves time and memory consuming procedures. The aim of this paper is to elaborate on the relationships between the propagation characteristics and the geometrical architecture of the urban environment so as to introduce a novel approach to field strength prediction. The ray-tracing algorithm is designed to be capable of adapting its accuracy to the geometrical complexity for each receiving point in the examined area. The analysis is performed in the Helsinki area based on a ray-tracing prediction program developed at the Laboratories of Villa Griffone and considering real propagation measurements
  • Keywords
    UHF radio propagation; cellular radio; land mobile radio; ray tracing; Helsinki; adaptive 3D microcellular prediction tools; building heights; field strength prediction; geometrical complexity; geometrical factors; microcellular metropolitan environment; radio propagation mechanism; ray-tracing computer prediction; street widths; urban environment; Algorithm design and analysis; Area measurement; Buildings; Computer architecture; Laboratories; Performance analysis; Performance evaluation; Prediction algorithms; Predictive models; Ray tracing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universal Personal Communications, 1996. Record., 1996 5th IEEE International Conference on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-3300-4
  • Type

    conf

  • DOI
    10.1109/ICUPC.1996.557957
  • Filename
    557957