• DocumentCode
    1760356
  • Title

    A Geometry-Based Stochastic Channel Model for High-Speed Railway Cutting Scenarios

  • Author

    Binghao Chen ; Zhangdui Zhong ; Bo Ai ; Michelson, David G.

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • Volume
    14
  • fYear
    2015
  • fDate
    2015
  • Firstpage
    851
  • Lastpage
    854
  • Abstract
    The scattering issue in the channel model for a railway cutting - a man-made trough or valley that carries a railway at its base - that is applicable to high-speed railway is discussed. The scattering components are rich in cutting and can be modeled by a cluster to enhance the accuracy and efficiency of the channel model, which is based upon geometry-based stochastic channel modeling. The channel parameters are extracted from measurement data collected along the Zhengxi high-speed railway. The size of the cluster is determined by the structure of cutting and channel parameters, such as pathloss exponent and Ricean K factor. A constraint condition of the cluster size is derived based upon theoretical analysis and verified by measurement data.
  • Keywords
    cutting; electromagnetic wave scattering; railway communication; stochastic processes; wireless channels; channel parameter extraction; cluster size determination; constraint condition; cutting parameters; geometry-based stochastic channel model; high-speed railway cutting; man-made trough; scattering components; valley; Channel models; Fading; MIMO; Rail transportation; Scattering; Stochastic processes; Wireless communication; Cluster size; MIMO; geometry-based stochastic model; high-speed railway;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2014.2381773
  • Filename
    6987277