• DocumentCode
    938648
  • Title

    A measurement-based model for predicting coverage areas of urban microcells

  • Author

    Goldsmith, Andrea J. ; Greenstein, Larry J.

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    11
  • Issue
    7
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    1013
  • Lastpage
    1023
  • Abstract
    The authors have performed data reductions on 900 MHz signal attenuations measured on numerous streets in Manhattan. The database consists of both local spatial averages of signal attenuation and the short-term fluctuations about this average. The former, which is termed the local mean attenuation (LMA), is the primary focus. The database is used to obtain contours of constant LMA for two neighborhoods. It is shown that the contours have the shapes of convex diamonds. The authors propose that squares inscribed within these contours be used as the building blocks of microcellular environments. A theory is developed that explains the contours and predicts, with reasonable accuracy, the sizes of the inscribed squares. It is also shown that the prediction method can be applied without the need for measured data. The short-term fluctuation statistics of the signal attenuation are examined. They are shown to be Rayleigh-like in the non-line-of-sight regions of a microcell and Rice-like in the line-of-sight region. Possible extensions to other frequency bands and other urban environments are discussed
  • Keywords
    cellular radio; fading; radiowave propagation; 900 MHz; Manhattan; Rayleigh fading; Rician fading; UHF; contours; coverage areas; local mean attenuation; local spatial averages; measurement-based model; prediction method; short-term fluctuations; signal attenuation; signal attenuations; urban microcells; Accuracy; Area measurement; Attenuation measurement; Fluctuations; Performance evaluation; Prediction methods; Predictive models; Shape; Spatial databases; Statistics;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.233214
  • Filename
    233214