• DocumentCode
    246865
  • Title

    Measurement-based auto-correlation model of shadow fading for the high-speed railways in urban, suburban, and rural environments

  • Author

    Ruisi He ; Zhangdui Zhong ; Bo Ai ; Bei Zhang

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    949
  • Lastpage
    950
  • Abstract
    In order to maintain reliable communications in high-speed railways (HSR), new and better handover algorithms must be developed. A deep understanding of the correlation properties of shadow fading, which is the basic of designing a handover scheme, is thus required. In this paper, an auto-correlation model of shadow fading in HSR environments is proposed based on a large body of measurements in China. The measurements are conducted along the HSR lines in urban, suburban, and rural environments, respectively, using a practically deployed and operative GSM-Railway system at 930 MHz. It is found that the auto-correlation coefficient follows an exponential decay function. The decorrelation distance is around 57 m in urban, and is larger than 110 m in suburban and rural environments. The results can be used for the design of diversity and fast handover schemes.
  • Keywords
    cellular radio; correlation methods; decorrelation; mobility management (mobile radio); radiotelemetry; railway communication; telecommunication network reliability; China; GSM-railway system; HSR communication; communication reliability; decorrelation distance; exponential decay function; frequency 930 MHz; handover algorithm; high-speed railway communication; measurement-based autocorrelation model; rural environment; shadow fading; suburban environment; urban environment; Correlation; Decorrelation; Fading; Handover; Rail transportation; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
  • Conference_Location
    Memphis, TN
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4799-3538-3
  • Type

    conf

  • DOI
    10.1109/APS.2014.6904803
  • Filename
    6904803