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首页> 外文会议>IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications >Wideband High-Speed-Train Channel Characterization Based on Measurements in In-service 5G-NR Networks
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Wideband High-Speed-Train Channel Characterization Based on Measurements in In-service 5G-NR Networks

机译：在役5G-NR网络中基于测量的宽带高速火车信道表征

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摘要

In this paper, a recent measurement campaign for high-speed-train (HST) channel characterization is conducted at the speed of about 250 km/h in a suburban environment with residential areas. A passive channel sounder is applied to collect the down-link signals with the sampling rate of 100 MHz based on the in-service fifth-generation new radio (5G-NR) networks at 3.45 GHz. The channel impulse responses (CIRs) are extracted from the received Channel-State Information Reference Signals (CSI-RSs) and delay dispersion can be observed clearly in the concatenated power delay profiles (CPDPs). Both the large-scale and small-scale parameters including path loss, shadow fading, delay spread and K-factor are analyzed and modeled. The velocity and distances between the base station (BS) and the UE can be estimated by the delay trajectory and the empirical path loss model and shadow fading can be derived based on the estimated results. The cumulative distribution functions (CDFs) of delay spread and K-factor are both well fitted with the log-Normal distribution. This statistical model for HST propagation channel constructed based on measurements in in-service 5G network, as the first of its kind, is useful for generating channel realizations for simulating of 5G communication systems.
机译：在本文中，最近的高速火车（HST）信道表征测量活动是在有居民区的郊区环境中以约250 km / h的速度进行的。基于在3.45 GHz下运行的第五代新无线电（5G-NR）网络，应用了无源信道探测仪以100 MHz的采样率收集下行链路信号。从接收到的信道状态信息参考信号（CSI-RS）中提取信道冲激响应（CIR），并且可以在级联功率延迟曲线（CPDP）中清楚地观察到延迟弥散。分析和建模了包括路径损耗，阴影衰落，延迟扩展和K因子在内的大规模和小型参数。可以通过延迟轨迹来估计基站（BS）与UE之间的速度和距离，并且可以基于所估计的结果来导出经验路径损耗模型和阴影衰落。延迟扩展和K因子的累积分布函数（CDF）都与对数正态分布非常吻合。这种基于服务中5G网络中的测量结果构建的HST传播信道的统计模型是第一个此类模型，可用于生成用于模拟5G通信系统的信道实现。

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