• DocumentCode
    1643711
  • Title

    A Novel Path Loss Model for High-Speed Railway Viaduct Scenarios

  • Author

    He, Ruisi ; Zhong, Zhangdui ; Ai, Bo ; Xiong, Lei ; Wei, Hong

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an empirical path loss model derived from the 930MHz measurements along "Zhengzhou-Xi\´an" high-speed railway in China. All the measurements were taken on the viaduct with the height of 23 meters above the ground surface. It applies to distances and base station antenna effective heights h not well-covered by existing models. The Least Squares Method (LS) is utilized in the curve fitting. The path loss exponent n determined by the slop of the linear fitting curve is statistically modeled, with the considering of base station antenna effective height h. Based on the log-normal shadowing model, a novel path loss model was developed. The proposed path loss model applies to high-speed railway viaduct scenarios, with base antenna heights from 15 to 30 m, base-to-train distances from 0.5 to 4 km. Compared with Hata and Winner II models, it raises path loss prediction accuracy for 3~10 dB and reduces the standard deviation by 1~3 dB.
  • Keywords
    curve fitting; least squares approximations; radiowave propagation; railway communication; China; curve fitting; high-speed railway viaduct scenarios; least squares method; log-normal shadowing model; path loss model; radio wave propagation; Antenna measurements; Base stations; Fitting; Loss measurement; Mathematical model; Rail transportation; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040112
  • Filename
    6040112