Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator
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 param...
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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2018/9284639 |
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doaj-d241bece5880421aa0a172a90149931e2020-11-25T00:48:43ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772018-01-01201810.1155/2018/92846399284639Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing SimulatorJinmeng Zhao0Lei Xiong1Danping He2Jiadong Du3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, ChinaThe China Academy of Information and Communications Technology (CAICT), ChinaThe 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.http://dx.doi.org/10.1155/2018/9284639 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jinmeng Zhao Lei Xiong Danping He Jiadong Du |
spellingShingle |
Jinmeng Zhao Lei Xiong Danping He Jiadong Du Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator Wireless Communications and Mobile Computing |
author_facet |
Jinmeng Zhao Lei Xiong Danping He Jiadong Du |
author_sort |
Jinmeng Zhao |
title |
Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator |
title_short |
Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator |
title_full |
Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator |
title_fullStr |
Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator |
title_full_unstemmed |
Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator |
title_sort |
channel characteristics of rail traffic tunnel scenarios based on ray-tracing simulator |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2018-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2018/9284639 |
work_keys_str_mv |
AT jinmengzhao channelcharacteristicsofrailtraffictunnelscenariosbasedonraytracingsimulator AT leixiong channelcharacteristicsofrailtraffictunnelscenariosbasedonraytracingsimulator AT danpinghe channelcharacteristicsofrailtraffictunnelscenariosbasedonraytracingsimulator AT jiadongdu channelcharacteristicsofrailtraffictunnelscenariosbasedonraytracingsimulator |
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1725254704111288320 |