Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator
Joint Authors
Xiong, Lei
He, Danping
Zhao, Jinmeng
Du, Jiadong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhao, Jinmeng& Xiong, Lei& He, Danping& Du, Jiadong. 2018. Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216386
Modern Language Association (MLA)
Zhao, Jinmeng…[et al.]. Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1216386
American Medical Association (AMA)
Zhao, Jinmeng& Xiong, Lei& He, Danping& Du, Jiadong. Channel Characteristics of Rail Traffic Tunnel Scenarios Based on Ray-Tracing Simulator. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1216386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216386