面向铁路编组站场景的5G‒R网络优化
作者:
作者单位:

北京全路通信信号研究设计院集团有限公司,北京 100070

作者简介:

高婷婷(1983-),女,硕士,高级工程师,主要研究方向为铁路无线通信系统.email:gaotingting@crscd.com.cn.

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基金项目:

国家自然科学基金资助项目(U2268201;2300-K1240018)

伦理声明:



5G-R network optimization for railway marshalling yard scenario
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Ethical statement:

Affiliation:

CRSC Research & Design Institute Group Co.,Ltd.,Beijing 100070,China

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    摘要:

    铁路编组站是列车的解编核心,其网络覆盖优劣关乎铁路运输效率。传统网络优化方案在应对编组站基站干扰及电磁环境敏感等特殊场景时存在不足。本文介绍基于射线追踪技术构建的无线环境数字孪生平台及其系统架构、优化流程和结果可视化。以大秦铁路沿线的某编组站为案例,通过平台模拟并优化信号弱覆盖问题。仿真结果表明,较之初步基站部署方案,基站参数经优化后有效提升了整体信号接收质量,有利地辅助了设计工作,为面向铁路编组站场景的基于5G技术的铁路新一代移动通信系统(5G-R)专网高质量建设和优化提供了理论支撑和技术积累。

    Abstract:

    Railway marshalling yards are the core of train disassembly and reassembly, and the quality of their network coverage directly affects the efficiency of railway transportation. Traditional network optimization solutions are insufficient in dealing with special scenarios such as base station interference and sensitive electromagnetic environments in marshalling yards. A wireless environment digital twin platform based on ray tracing technology is introduced, along with its system architecture, optimization process, and result visualization. Taking a marshalling yard along the Daqin Railway as a case study, the platform simulates and optimizes the issue of weak signal coverage. The simulation results show that compared with the initial base station deployment plan, the optimized base station parameters have effectively improved the overall signal reception quality. This not only supports the design work but also provides theoretical support and technical accumulation for the high-quality construction and optimization of the next-generation railway mobile communication system 5G for Railway(5G-R) dedicated network for railway marshalling yards based on 5G technology.

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高婷婷.面向铁路编组站场景的5G‒R网络优化[J].太赫兹科学与电子信息学报,2025,23(12):1261~1268

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  • 收稿日期:2025-05-23
  • 最后修改日期:2025-06-20
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  • 在线发布日期: 2026-02-13
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