Abstract
With the continuous promotion of LTE in urban rail transit, the authorized spectrum resources of LTE-M system are limited, which limits LTE’s ability to meet the data transmission requirements of urban rail transit. LTE-U, an emerging wireless technology which use an unauthorized spectrum to achieve LTE, can effectively alleviate the pressure of spectrum resource shortage. In this paper, we analyze the technical advantages of LTE-U in urban rail transit applications. By building an LTE-U test network and simulating the radio channel characteristics at the equipment work site in the laboratory, the LTE-U system is tested for its ability to carry services such as CBTC, CCTV/PIS, emergency text and train operation status information in urban rail transit. The test results show that LTE-U system can meet the demand of carrying urban rail transit services and is a feasible solution to the existing problems of urban rail transit.
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References
Zhang, H.: Application research of LTE-U for urban rail transit integrated service bearing system. Railw. Locomotive Car 39(4), 1–4 (2019)
Jung, Y., Kang, M., You, Y.: Complexity effective frequency and sidelink synchronization algorithm for LTE device-to-device communication systems. Comput. Mater. Continua 62(1), 443–458 (2020)
Dawaliby, S., Bradai, A., Pousset, Y.: In depth performance evaluation of LTE-M for M2M communications. In: 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 1–8. IEEE, New York (2016)
Zhang, R., Wang, M., Cai, L.X., et al.: LTE-unlicensed: the future of spectrum aggregation for cellular networks. IEEE Wirel. Commun. 22(3), 150–159 (2015)
Chen, B., Chen, Z., Pappas, N., et al.: Bringing LTE to unlicensed spectrum: technical solutions and deployment considerations. In: IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp. 1–7. IEEE, Barcelona (2018)
Jeon, J., Niu, H., Li, Q., et al.: LTE with listen-before-talk in unlicensed spectrum. In: IEEE International Conference on Communication Workshop (ICCW), pp. 2320–2324. IEEE, London (2015)
Gungor, V.C., Uyan, O.G.: QoS-aware downlink scheduling algorithm for LTE networks: a case study on edge users. In: 25th Signal Processing and Communications Applications Conference (SIU), pp. 1–4. IEEE, Antalya (2017)
Li, Z., Dong, C., Li, A., et al.: Performance analysis for traffic offloading with MU-MIMO enabled AP in LTE-U networks. In: IEEE Global Communications Conference, pp. 1–6. IEEE (2017)
Liu, S., Yin, R., Guanding, Y.: Hybrid adaptive channel access for LTE-U systems. IEEE Trans. Veh. Technol. 68(10), 9820–9832 (2019)
Manzoor, A., Tran, N.H., Saad, W., et al.: Ruin theory for dynamic spectrum allocation in LTE-U networks. IEEE Commun. Lett. 23(2), 366–369 (2018)
Uyan, O.G., Gungor, V.C.: QoS-aware LTE-a downlink scheduling algorithm: a case study on edge users. Int. J. Commun. Syst. 32(15), 4066 (2019)
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The authors thank the reviewers for their valuable suggestions, which greatly improved the quality of the paper.
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This paper is supported by the research on the application of LTE-U in rail transit.
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Gan, T., Ma, Q., Shen, XH., Jia, YD. (2021). Test of Integrated Urban Rail Transit Vehicle-to-Ground Communication System Based on LTE-U Technology. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12736. Springer, Cham. https://doi.org/10.1007/978-3-030-78609-0_9
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DOI: https://doi.org/10.1007/978-3-030-78609-0_9
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