Abstract
In order to meet the higher data transmission rate requirements of subway communication services, the millimeter wave (mmWave) broadband communication is considered as a potential solution in 5G technology. Based on the channel measurement data in subway tunnels, this paper uses ray-tracing (RT) simulation to predict the propagation characteristics of the 28 GHz millimeter wave frequency band in different tunnel scenarios. A large number of simulations based on ray-tracing software have been carried out for tunnel models with different bending radiuses and different slopes, and we further compared the simulation results with the real time measurement data of various subway tunnels. The large-scale and small-scale propagation characteristics of the channel, such as path loss (PL), root mean square delay spread (RMS-DS), and angle spread (AS), for different tunnel scenarios are analyzed, and it was found that the tunnel with a greater slope causes larger path loss and root mean square delay spread. Furthermore, in the curved tunnel, the angle spread of the azimuth angle is larger than that in a straight tunnel. The proposed results can provide a reference for the design of future 5G communication systems in subway tunnels.
Highlights
In the new era of “intelligent railway mobility,” rail transportation communication systems need to process critical information, and need to meet a series of highdata-rate wireless connection services such as on-board high-definition video surveillance [1]
When the transceiver distance is more than 150 m, root mean square delay spread (RMS-DS)
Based on the RT simulation method, this paper studies the propagation characteristics at 28 GHz in a variety of subway tunnel scenarios. e actual measurement data is used to calibrate the property parameters of the materials in order to execute simulations
Summary
In the new era of “intelligent railway mobility,” rail transportation communication systems need to process critical information, and need to meet a series of highdata-rate wireless connection services such as on-board high-definition video surveillance [1]. In [8, 9], based on measurement and simulation data, PL of straight tunnel and curved tunnel at 2.4 GHz were studied, respectively, and it was found that the radius of curvature of tunnel had a significant influence on channel characteristics. In [13], based on the channel measurement data of Seoul Metro Line 8, the RT model parameters were analyzed comprehensively, and the PL and RMS-DS of the channel in urban, rural, straight, and curved empty tunnel scenarios at 25 GHz were examined quite efficiently. Based on the simulation data in [20], the channel characteristics at 37–42.4 GHz in the high-speed railway station was studied, and it was found that the existence of the train had an obvious influence on the AS.
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