Abstract
With the rapid growth of LTE user, the overload problem of high-speed rail network is more and more serious, and identifying the public network users who access to the rail network is the key and difficult point to solve the overload problem of high-speed rail network, especially for the low speed scenario where the existing speed detection algorithm effect is poorer. To this end, this paper proposes a high-speed rail network user identification algorithm based on the switching link, which realized the user’s identification by extracting cell level switch link, and simulation results show that the algorithm can effectively intercept 96% of public network users who access to the high-speed rail network, and there was no significant difference in both high speed and low speed scene of the performance of the algorithm.
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Acknowledgement
This work was jointly supported by Natural Science Foundation of China (61773296), the Education Department of Jiangxi Province of China Science and Technology research projects with the Grant No. GJJ151433, GJJ161687, GJJ161688 and GJJ161691.
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Wang, W., Tao, X. (2018). A User Identification Algorithm for High-Speed Rail Network Based on Switching Link. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_48
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DOI: https://doi.org/10.1007/978-981-13-1651-7_48
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