Abstract

Passenger trains and especially metro trains have been identified as one of the key scenarios for 5G deployments. The wireless channel inside a train car is reported in the frequency range between 26.5 GHz and 40 GHz. These bands have received a lot of interest for high-density scenarios with a high-traffic demand, two of the most relevant aspects of a 5G network. In this paper we provide a full description of the wideband channel estimating Power-Delay Profiles (PDP), Saleh-Valenzuela model parameters, time-of-arrival (TOA) ranging, and path-loss results. Moreover, the performance of an automatic clustering algorithm is evaluated. The results show a remarkable degree of coherence and general conclusions are obtained.

Highlights

  • Metro lines are one of the most acknowledged high-density scenarios, as well as stadiums and other large venues

  • The measurements were carried out using an Agilent 8722ES Vector Network Analyzer (VNA)

  • If we consider the difference between having people in motion between transmitter and receiver and not, using horn antennas and the same distance, equal to 9.5 m, we can see that we have a lower “Λ” when we have people in motion, and a lower “Γ.” It is noteworthy that the average parameters using horn antennas are a good approximation of the scenario with an omnidirectional antenna

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Summary

Introduction

Metro lines are one of the most acknowledged high-density scenarios, as well as stadiums and other large venues These places are a clear target for 5G mobile [1] deployments, which is intended to provide very large throughputs and ultra-low latencies in dense environments and sustain a high number of simultaneous connections, among others. There is no clear direction on which bands will be allocated for unlicensed use, but the 37 GHz band (37–37.6 GHz) is perhaps the most promising one All these spectrum policies lead to the need of a proper channel model for 5G-related scenarios in the aforementioned bands. The structure of the paper is the following: in Section 2 we will describe the experiment setup, covering the environment details, the measurement setup, and the processing of the data; in Section 3 we will explain all the results obtained from the measurements, and, in Section 4 a conclusion and some discussion are provided

Experimental Setup
Channel Model
Findings
Conclusion
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