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Wideband High-Speed-Train Channel Characterization Based on Measurements in In-service 5G-NR Networks

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.