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LTE-Based Wireless Broadband Train to Ground Network Performance in Metro Deployments

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Communication Technologies for Vehicles (Nets4Cars/Nets4Trains/Nets4Aircraft 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10796))

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Abstract

This paper presents the performance testing of a train to ground communications network deployed in an underground environment and based on 3GPP LTE wireless technology. A fully operational project was deployed in Zhengzhou, China in 2016, LTE Node-B have been installed in the tunnel, LTE terminals are deployed onboard in the train, working in 1785–1805 MHz band, with 10 MHz + 5 MHz dual-carrier configuration, a full test was executed and completed in Q3 2016, the feasibility and performance of LTE solution was verified and accepted. During the testing the train was moving among six stations with 7.6 km distance, the signal level received by the train wireless terminals, the throughput achieved between train and ground nodes, as well as the E-E latency are measured in the performance test.

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References

  1. Zhang, L., et al.: Experimental evaluation of 4G technologies in metro tunnel scenarios. In: 10th European Conference on Antennas and Propagation (EuCAP) (2016)

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  2. Zhengzhou Metro Line-2 test report based on LTE technology, 28 October 2016, by Zhengzhou Metro, Huawei Technologies, UCD, CASCO etc. 郑州地铁2号线基于LTE技术综合承载测试报告(签字盖章)

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Correspondence to Julian Andrade .

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Wu, H., Zhang, X., Xie, L., Andrade, J., Xu, S., Yang, X. (2018). LTE-Based Wireless Broadband Train to Ground Network Performance in Metro Deployments. In: Moreno García-Loygorri, J., Pérez-Yuste, A., Briso, C., Berbineau, M., Pirovano, A., Mendizábal, J. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2018. Lecture Notes in Computer Science(), vol 10796. Springer, Cham. https://doi.org/10.1007/978-3-319-90371-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-90371-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90370-5

  • Online ISBN: 978-3-319-90371-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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