Abstract
Nowadays, with the application of 5G-related technologies, the mobile terminal market changed the direction to develop the dual SIM phone in domestic. Thus, identifying the primary and secondary card of dual card 5G terminal users is quite important for every operator. This study proposed two algorithms which are AI brand Recognition Algorithm and Spatio-temporal Adjoint Algorithm, aim to implement dual IMEI for 5G dual cards phones. Big data analysis is used to explore the traffic threshold which will be used to define primary and secondary card users. During the research, 5G Full TAC Terminal Library, terminal data of Ministry of Industry and Information Technology and Global System for Mobile Communication Association (GSMA) are used to be the basis databases, which can identify the terminal is 5G or not. The result of study is find the traffic threshold and then define the card type of China Unicom 5G users. As the result shows, China Unicom had 5G network users 150.1 million totally, in which single SIM users accounted for 0.58% of the total number of users, and dual SIMs users accounts for 99.42% of the total. The above research will reference for the primary and secondary card marketing.
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Xie, Y., Li, J., Liu, Y. (2024). Research on Identification of Primary and Secondary Cards with Dual SIMs Terminal. In: Wang, Y., Zou, J., Xu, L., Ling, Z., Cheng, X. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2023. Lecture Notes in Electrical Engineering, vol 1188. Springer, Singapore. https://doi.org/10.1007/978-981-97-2124-5_40
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DOI: https://doi.org/10.1007/978-981-97-2124-5_40
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