基于被动测量的5G宽带高铁信道分簇模型

为研究在高铁场景下的5G信道传播模型，设计了一款基于双通道的被动信道测量系统，并对运行速度约250 km/h的高铁进行了Sub-6 GHz频段的信道测量，建立了基于多径簇的信道模型. 测量系统由双通道软件定义的无线电外设(software-defined radio, SDR)、高性能移动工作站和其他设备构成，可用于在服务中的5G新无线电(5G new radio, 5G-NR)网络中精确地采集中心频率为2~4 GHz、带宽为100 MHz的5G下行链路信号. 通过对不同类型下行链路信号的后处理，获得时延、多普勒频率和到达方向角的多维信道功率谱，以及多径分量的参数估计. 最后通过对本文测量获得的5G-NR模型与现有的WINNER II模型进行对比分析，验证了本文模型在系统性能评估中的适用性.

Stochastic cluster models of wideband high-speed-train channel based on passive measurement in in-service 5G-NR networks

In this paper, a passive channel sounding system specifically designed for the 5G is used to conduct channel measurements on sub-6 GHz frequency bands in time-variant cases on high-speed-train with 250 km/h, and a based-cluster channel model based on measurement data is established. This passive channel sounder, built with dual-channel software-defined radio (SDR) peripherals, high-performance mobile workstation and other ancillaries, can be applied to collection of exact 5G downlink signals with center-frequencies of 2?4 GHz, bandwidth of 100 MHz in in-service 5G new radio (NR) networks. Based on post-processing of downlink signals of different types, multi-dimensional channel power spectra in delay, Doppler frequency and direction of arrival, as well as the estimates of parameters of multipath component (MPC) are obtained. A discussion of the difference between this new 5G-NR model and existing WINNER II model is provided and comments on the model applicability for system performance evaluation.