Abstract
Mobile telecommunications markets are highly competitive and Dynamic population with mobile service is more than 100%, operators must take care of customers and prevent complaints. Mobile customers performance measurements to identify complaints by subscriber can be made with New Standard 3GPP TS32.321. This standard includes Subscriber traces for all network elements, this paper presents the process of creation of End User Performance indicators from subscriber traces in a real LTE operator using python and Databases. Indicators proposed for mobile customers are based on 3GPP TS32.250 network indicators but adapted during parsing to be calculated by (UE) User equipment to propose a better Customer Experience Index. This novel method is to get indicators using traces for customers and also for the network as a whole. Comparison of key performance indicators between network level against user indicators were created. Customer Experience Index for ERAB Accessibility is proposed and main components impacting the customer experience were identified by using machine learning techniques.
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Amaya, H.D.B., Garcia, E.E.G., Camargo, J. (2021). Implementation of End User Radio Key Performance Indicators Using Signaling Trace Data Analysis for Cellular Networks. In: Figueroa-García, J.C., Díaz-Gutierrez, Y., Gaona-García, E.E., Orjuela-Cañón, A.D. (eds) Applied Computer Sciences in Engineering. WEA 2021. Communications in Computer and Information Science, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-030-86702-7_24
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DOI: https://doi.org/10.1007/978-3-030-86702-7_24
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