Distribution Visualization for User Behavior Analysis on LTE Network

Abstract : In order to seamlessly provide high quality communication services, mobile network operators (MNOs) tackle to promptly respond to a degradation of the communication quality when it occurs. MNOs are facing a difficulty to detect the degradation without any error messages or nonconformity. For the first step of the study, we implemented a Self-Organizing Map (SOM)-based visualization system to analyze the users’ behavior in evolved packet core based on state transitions estimated by capturing LTE C-Plane signals. We show a case study of analyzing actual LTE signals using the implemented system, which demonstrates that we can intuitively see the unexpected characteristic of users’ behavior from the results.
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Communication dans un congrès
Franz Wotawa; Mihai Nica; Natalia Kushik. 28th IFIP International Conference on Testing Software and Systems (ICTSS), Oct 2016, Graz, Austria. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9976, pp.249-255, 2016, Testing Software and Systems. 〈10.1007/978-3-319-47443-4_18〉
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Masaki Suzuki, Quentin Plessis, Takeshi Kitahara, Masato Tsuru. Distribution Visualization for User Behavior Analysis on LTE Network. Franz Wotawa; Mihai Nica; Natalia Kushik. 28th IFIP International Conference on Testing Software and Systems (ICTSS), Oct 2016, Graz, Austria. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9976, pp.249-255, 2016, Testing Software and Systems. 〈10.1007/978-3-319-47443-4_18〉. 〈hal-01643720〉

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