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

被引：22

作者：

Chen, Binghao ^{[1
]}

Zhong, Zhangdui ^{[1
]}

Ai, Bo ^{[1
]}

Michelson, David G. ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China

[2] Univ British Columbia, Radio Sci Lab, Vancouver, BC V5Z 1M9, Canada

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2015年 / 14卷

基金：

中国国家自然科学基金;

关键词：

Cluster size; geometry-based stochastic model; high-speed railway; MIMO;

D O I：

10.1109/LAWP.2014.2381773

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：851 / 854

页数：4

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