Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway

Lei Xiong; Huayu Li; Zhengyu Zhang; Bo Ai; Pei Tang

Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway

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@INPROCEEDINGS{10.1007/978-3-030-41114-5_43,
    author={Lei Xiong and Huayu Li and Zhengyu Zhang and Bo Ai and Pei Tang},
    title={Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway},
    proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
    proceedings_a={CHINACOM},
    year={2020},
    month={2},
    keywords={Channel Pattern recognition k-nearest neighbor (kNN) High-speed railway},
    doi={10.1007/978-3-030-41114-5_43}
}

Lei Xiong
Huayu Li
Zhengyu Zhang
Bo Ai
Pei Tang
Year: 2020
Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_43

Lei Xiong¹^,*, Huayu Li¹, Zhengyu Zhang¹, Bo Ai¹, Pei Tang²

1: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University
2: China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan

*Contact email: lxiong@bjtu.edu.cn

Abstract

Channel is important for the wireless communication system. The channel in high-speed railway is rapid time-variation and non-stationary. This papers discusses the channel characteristic in open space scenario, and defines 4 patterns. Furthermore a channel pattern recognition algorithm is proposed using k-nearest neighbor method. Simulation results show that the proposed method performs well with high accuracy and robust.

Keywords: Channel Pattern recognition k-nearest neighbor (kNN) High-speed railway

Published: 2020-02-27
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-41114-5_43

Wireless Channel Pattern Recognition Using k-Nearest Neighbor Algorithm for High-Speed Railway

Abstract

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