面向新一代铁路移动通信的网络规划技术研究  

Research on network planning technology for new generation railway mobile communication

作　　者：丁珣 张俊笛 何丹萍 费丹[2,3] 王文渊[4] DING Xun;ZHANG Jundi;HE Danping;FEI Dan;WANG Wenyuan(China Railway Electrification Bureau Group Co.Ltd.,Beijing 100043,China;State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China;Key Laboratory of Railway Industry of Broadband Mobile Information Communications,Beijing Jiaotong University,Beijing 100044,China;China Railway Nanchang Group Co.Ltd.,Nanchang 330002,China)

机构地区：[1]中国铁建电气化局集团有限公司,北京100043 [2]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [3]北京交通大学宽带移动信息通信铁路行业重点实验室,北京100044 [4]中国铁路南昌局集团有限公司,南昌330002

出　　处：《电波科学学报》2023年第1期71-78,共8页Chinese Journal of Radio Science

基　　金：中国铁建股份有限公司科研计划课题(2021-C43);国家自然科学基金青年基金(61901029)。

摘　　要：为了解决铁路移动通信网络规划成本高且效率低的问题,满足铁路智能无线网络建设需求,以京沈客运专线为场景,研究了2.1 GHz频段下基于高性能射线跟踪的5G铁路专用移动通信(5G for railway, 5GR)智能无线网络规划技术.依托参考信号接收功率(reference signal receiving power, RSRP)高性能射线跟踪仿真得到电磁波在特定环境下传播时的信道特性和路径损耗,进而精准预算无线链路的RSRP和下行传输速率;同时将规划问题建模为多目标优化求解问题,使用遗传算法对基站参数进行分级规划,在RSRP覆盖达标的前提下,最大化下行传输速率,智能输出基站工参最优解.仿真结果表明该技术可以满足RSRP覆盖率和最大化下行传输速率的规划目标,为后续实现精准高效的5G-R无线网络规划和优化提供仿真支撑和参考.In order to solve the problem of high planning cost and low efficiency of the 5G for railway(5G-R),and to meet the needs of the planning and construction of railway intelligent wireless network. This article takes the Beijing-Shenyang passenger line as a scenario to study the 5G-R intelligent wireless network planning technology based on high-performance ray tracing in the 2.1 GHz frequency band. Relying on high-performance ray tracing simulation,the channel characteristics and path loss of electromagnetic waves propagating in a specific propagation environment can be obtained, and the reference signal receiving power(RSRP) and downlink transmission rate of the wireless link can be accurately estimated. At the same time, the planning problem is modeled as a multi-objective optimization problem, and the genetic algorithm is used to plan the parameters of the base station. On the premise that the RSRP coverage is up to standard, the downlink transmission rate is maximized, and the optimal solution of base stations is exported. The simulation results show that the technology can meet the planning goals of RSRP coverage and maximize the downlink transmission rate, and provide simulation support and reference for the subsequent realization of accurate and efficient 5G-R wireless network planning and optimization.

关 键 词：5G-R 无线网络规划 高性能射线跟踪 参考信号接收功率(RSRP) 下行传输速率 遗传算法 

分 类 号：TN92[电子电信—通信与信息系统]