• DocumentCode
    2128970
  • Title

    Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario

  • Author

    Navarro, Andres ; Ardila, Carlos

  • Author_Institution
    ICT Dept., Univ. Icesi, Cali, Colombia
  • fYear
    2012
  • fDate
    8-14 July 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Propagation models used to plan outdoor wireless networks on urban environment, tend to include a high degree of empirical component. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equation usually contains constants, and coefficients for the different terms, mainly obtained by statistical analysis of measurement sets, collected during drive tests on large areas of the city. Unfortunately, such results are only truly valid for the city or parts of the city on which the measurements were taken. They can also be considered appropriate for similar areas or cities at the most. If the areas are not similar enough however, a process of adjustment is necessary, leading to the finding of new constants and coefficients. The purpose of this paper is to discuss some of the findings during the process of statistically adjust the Okumura-Hata and Walfisch-Bertoni models to the Cali scenario, using measurements.
  • Keywords
    radio networks; statistical analysis; COST 2100 Cali reference scenario; Okumura Hata model; Walfisch Bertoni model; obstacles; outdoor wireless networks; propagation path loss model; signal path loss; statistical analysis; urban environment; Buildings; Cities and towns; Clutter; Equations; Mathematical model; Propagation losses; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4673-0461-0
  • Type

    conf

  • DOI
    10.1109/APS.2012.6348047
  • Filename
    6348047