Abstract
The transformation of high-speed railway is moving toward intelligence, information technology, and digitalization. Railway 5G dedicated mobile communication (5G-R) system has become the first choice for high-speed railway communication systems and an important guarantee for the safe operation of high-speed railways. Tunnels are one of the typical railway scenarios, and the deployment of a reliable and stable 5G-R system is the guarantee for the safe operation of future intelligent high-speed railways. However, in an actual tunnel, the electric cables erected on the upper wall of the tunnel and the smooth passage of trains will limit the installation position of the antenna. Generally, the transmitting antenna is selected to be installed near the side wall. This paper takes the tunnel as the research scenario, and uses ray tracing technology to simulate the wireless channel characteristics of the transmitting antenna at different installation positions on the side wall of the tunnel in the 2.1 GHz frequency band, including received power, K factor and Root-Mean-Square Delay Spread (RMS DS), which can be used for this scenario. The construction optimization and deep coverage of the railway 5G network provide a theoretical basis to deploy a more stable and reliable 5G mobile communication system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lu, Y.L., Shen, H.Y., Zhang, J.Y., et al.: Exploration and prospect of key technology of new generation mobile communication for intelligent railway. Telecommun. Sci. 39(01), 30–41 (2023). (in Chinese)
Zhang, X.. et al.: Measurements and modeling of large-scale channel characteristics in subway tunnels at 1.8 and 5.8 GHz. IEEE Antennas Wireless Propag. Lett. 22(3), 561–565 (2023)
Santos, A., Matos, L., Castellanos, P., Mota, V.: Channel characterization in V2I system inside a tunnel in 5.8 GHz. 2021 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), pp. 1–3, Fortaleza, Brazil (2021)
Tai, I.H.P., Lim, H.S., Diong, K.S., Alaghbari, K.A.: Effects of crowd density on radio propagation at 24 GHz in a pedestrian tunnel for 5G communications. IEEE Access 11, 40240–40248 (2023)
Li, D.W.: Research on the Coverage Characteristics of Radio Waves in Confined Space. Bei**g Jiaotong University (2016). (in Chinese)
Li, W.J.: Research on Propagation Characteristics and Positioning Method of Ultra-Broadband Electromagnetic Wave Tunnel. Wuhan University of Technology (2019). (in Chinese)
Duan, W., Gu, J.Y., Wen, M.W., et al.: Emerging technologies for 5G-loV networks: applications, trends and opportunities. IEEE Netw. 34(5), 283–289 (2020)
Guan, K., He, D.P., Zhong, Z.D.: CloudRT: A Chinese example of open science infrastructure and services. Cult. Sci. 4(4), 217–226 (2021)
He, D., Ai, B., Guan, K., et al.: The design and applications of high-performance ray-tracing simulation platform for 5G and beyond wireless communications: a tutorial. IEEE Commun. Surv. Tutor. 21(1), 10–27 (2019)
CloudRT Homepage. http://cn.raytracer.cloud:9090/. Last accessed 14 June 2023
Series, P.: Propagation Data and Prediction Methods for the Planning of Indoor Radio Communication Systems and Radio Local Area Networks in the Frequency Range 900 MHz to 100 GHz. ITU-R Recommendation, p. 1238–7 (2012)
Acknowledgments
This research was partially funded by the Fundamental Research Funds for the Central Universities under Grants 2022JBXT001, and by the National Natural Science Foundation of China under Grants 62171021, and by the Project of China State Railway Group under Grants P2021G012, and by ZTE Corporation under Grants I23L00010 and by Shanghai Shen-Tie Investment Co., Ltd. under grant W23L00450.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 Bei**g Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Liu, Y., Ding, J., Sun, B., Lin, S., Wang, W. (2024). Influence of Wall-Attached Antenna Distance on Channel in Tunnel Scenario. In: Qin, Y., Jia, L., Yang, J., Diao, L., Yao, D., An, M. (eds) Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023. EITRT 2023. Lecture Notes in Electrical Engineering, vol 1137. Springer, Singapore. https://doi.org/10.1007/978-981-99-9311-6_51
Download citation
DOI: https://doi.org/10.1007/978-981-99-9311-6_51
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-9310-9
Online ISBN: 978-981-99-9311-6
eBook Packages: EngineeringEngineering (R0)