面向5G-R高铁站场景的CDL建模与研究

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

摘要:

为推动第五代移动通信技术(5G)在高铁专用网络建设中的应用，本文以2.1 GHz频段下厦门北高铁站为研究场景，研究场景中立柱、股道、站台等物体带来的显著多径的空间域特征。通过射线跟踪(RT)仿真，获取高铁站场景下由发射机到接收机的多维度多径数据；基于K均值(K-means)聚类算法对多径信号进行分簇，提取和分析相关簇参数，完成高铁站场景簇延迟线(CDL)模型构建。据此得到高铁站场景收发机不同极化组合下多径的空间域信息，对铁路5G系统(5G-R)高铁站场景信道模型进行补充，服务于铁路5G专用移动通信系统的建设。

Abstract:

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.