Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 11, 1181(2024)

CDL modeling and research for 5G-R high-speed railway station scenario

LI Jinhan1... WANG Yiran2,3, GUAN Ke2,3,* and YAO Xinnan1 |Show fewer author(s)
Author Affiliations
  • 1China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan Hubei 430063, China
  • 2State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing 100044, China
  • 3School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
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    To promote the application of fifth-generation mobile communication technology (5G) in the construction of high-speed rail dedicated networks, this paper takes the Xiamenbei Railway Station in the 2.1 GHz frequency band as the research scenario, studying the significant multipath spatial characteristics brought about by objects such as columns, tracks, and platforms in the scenario. Through Ray Tracing (RT) simulation, multidimensional multipath data from the transmitter to the receiver in the high-speed railway station scenario is obtained; based on the K-means clustering algorithm, the multipath signals are clustered, and relevant cluster parameters are extracted and analyzed to complete the construction of the Cluster Delay Line (CDL) model for the high-speed railway station scenario. This provides spatial domain information of multipath for different polarization combinations of transmitters and receivers in the high-speed railway station scenario, complementing the channel model of high-speed railway station scenario for 5G-Railway (5G-R), and serving the construction of dedicated mobile communication systems for railways using 5G.

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    LI Jinhan, WANG Yiran, GUAN Ke, YAO Xinnan. CDL modeling and research for 5G-R high-speed railway station scenario[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(11): 1181

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    Paper Information

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    Received: Dec. 1, 2023

    Accepted: Jan. 3, 2025

    Published Online: Jan. 3, 2025

    The Author Email: Ke GUAN (kguan@bjtu.edu.cn)

    DOI:10.11805/tkyda2023400

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