Abstract
Development of LTE wireless network raises new ways for customers to communicate, by offering the possibility to access the network anywhere and anytime. As a result of the investments made over the last few years, this network has achieved widespread popularity. Some specialized infrastructures have been raised to address the special needs of customers. One of this need is to give the opportunity to connect to the network while journeying in a high-speed train. Mobile operators have elaborated special cells to manage high-speed train passengers, taking into account the characteristics of this environment. A key issue is to monitor the effective usage of the cells, by checking that passengers connect to those special cells (and not to the neighbor common cells), and that other users connect to common cells (and not to the special ones). For this purpose, a monitoring system of cells based on data analytics is detailed. This system identifies service performance of each cell, by pointing out common cells where high-speed train passengers are attaching to, and special cells where too many non-passengers are connecting to. The whole system helps mobile operators to elaborate strategies to improve service performance, by determining which cells should be tuned.
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Huet, A., Hu, M.(., Wang, J., Ouyang, Y. (2018). Evaluating LTE Service Performance for High-Speed Rail Cells via User Classification Model. In: Sun, S., Chen, N., Tian, T. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2017. Lecture Notes in Electrical Engineering, vol 473. Springer, Singapore. https://doi.org/10.1007/978-981-10-7521-6_40
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DOI: https://doi.org/10.1007/978-981-10-7521-6_40
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