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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Masaki Suzuki, Quentin Plessis, Takeshi Kitahara, Masato Tsuru. Distribution Visualization for User Behavior Analysis on LTE Network. 28th IFIP International Conference on Testing Software and Systems (ICTSS), Oct 2016, Graz, Austria. pp.249-255, ⟨10.1007/978-3-319-47443-4_18⟩. ⟨hal-01643720⟩

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