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
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;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2014.2381773