Channel measurements and models for high-speed train wireless communication systems in tunnel scenarios: a survey

Liu, Yu; Ghazal, Ammar; Wang, Cheng-Xiang; Ge, Xiaohu; Yang, Yang; Zhang, Yapei

doi:10.1360/n112017-00089

Cited by 5 publications

(3 citation statements)

References 83 publications

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“…So, the authors came up with a method that takes an extra loss coefficient into account in the propagation model [90]. (8) where d BP is the breakpoint that can be determined using (9), and extra loss coefficient (ELC) can be determined using (10). The symbols d and d are illustrated in Fig.…”

Section: B: Waveguide-shooting and Bouncing Rays (Wg-sbr)mentioning

confidence: 99%

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

et al. 2023

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The prediction of radio signal transmission in tunnels is important for wireless communication link design as it enables the delivery of optimum power to the intended receiver inside the tunnel. Several techniques have been proposed to estimate path loss for wireless communication inside tunnels. The radio coverage range and where base stations need to be installed can be figured out with the help of propagation models. At the time of developing these models, modeling complexity and environmental attributes, such as the tunnel geometry and the electrical and magnetic properties of its walls and interior materials are considered. A limited amount of literature currently overviews how waves transmits through tunnels and how electromagnetic wave transmission has recently changed. This survey, which examines current advancements in the propagation of waves in tunnels, aims to address this gap. In this review, thirty wave propagation models were analyzed and grouped into distinct categories for the first time. The detailed specifications of each model were omitted to make the survey easy to comprehend. This comparative research will help service providers adopt an appropriate propagation model and plan efficient transmitter and receiver placement and link management for a specific tunnel environment.INDEX TERMS Artificial neural network, radio wave propagation, ray tracing, scaling, tunnel.

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Section: B: Waveguide-shooting and Bouncing Rays (Wg-sbr)mentioning

confidence: 99%

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

et al. 2023

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“…The means of (8, 9), (7,8), and (6, 7) are 4.26 × 10 −12 , 1.9 × 10 −2 , and 0.18, respectively. The (8,9) is the smallest, ranging from 6.41 × 10 −13 to 1.72 × 10 −11 . The (7, 8) ranges from 4.97 × 10 −5 to 0.12.…”

Section: Parameters Setupmentioning

confidence: 99%

“…Considering the unique construction, the wireless propagation in tunnel scenarios is different from other HST scenarios which attracts a lot of research interests [8][9][10]. Leaky cables and Distributed Antenna System (DAS) [11,12] are mainly two promising methods to provide radio coverage in tunnels.…”

Section: Introductionmentioning

confidence: 99%

Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray‐Tracing Simulator

Zhao

Xiong

et al. 2018

Wireless Communications and Mobile Computing

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The tunnel scenario is a major rail communication scenario. In this paper, the radio channel characteristics of tunnel scenarios with different carrier frequencies, different distances between the transmitter (Tx) and receiver (Rx), and cross sections are simulated with a ray-tracing tool. Key parameters such as path loss, Rician K-factor, root mean square (RMS) delay spread, and angular spread are studied. According to the results, higher frequencies introduce larger path loss and the presence of the vehicle body increases the path loss by about 35 dB in the scenario; at the same time it will also cause the fluctuation and instability of the path loss. Besides, the influence of reflections from the side walls is significant on radio propagation. The channel experiences more severe fading in a narrow tunnel compared with others.

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Emulation of Radio Technologies for Railways: A Tapped-Delay-Line Channel Model for Tunnels

et al. 2021

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Radio access technologies (RATs) are a key topic in railways, enabling them a better service rendering in terms of shorter headways between trains, higher safety levels and higher customer satisfaction. Very often, these railway RATs need a lot of time to be developed, tested and put into service, which implies a lack of efficiency and bottlenecks in the evolution of railway systems. To solve this situation, an emulation platform that considers both the physical layer and the network (this is, able to emulate the end-to-end chain) is envisaged in the EmulRadio4Rail project. Therefore, the physical layer of many railway scenarios must be emulated, which is a remarkable challenge because railways are very diverse. We see Tapped-Delay Lines (TDL) models as the most efficient way for emulation with the available hardware. In the literature, there are many TDL-based channel models for all the scenarios we considered but one: tunnels. Therefore, in order to fill this gap, we develop a novel TDL model for railway tunnels, considering the impact of the rolling stock (both high-speed railway (HSR) and subway trains). The proposed model allows the full characterization of this scenario in terms of power-delay-profile (PDP), Doppler spectrum and fading characteristics.INDEX TERMS Channel modelling, propagation, railway communications, tapped-delay-line models, tunnel.

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Channel measurements and models for high-speed train wireless communication systems in tunnel scenarios: a survey

Cited by 5 publications

References 83 publications

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

Wave Propagation Modeling Techniques in Tunnel Environments: A Survey

Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray‐Tracing Simulator

Emulation of Radio Technologies for Railways: A Tapped-Delay-Line Channel Model for Tunnels

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