Distribution Visualization for User Behavior Analysis on LTE Network - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Distribution Visualization for User Behavior Analysis on LTE Network

(1) , (1) , (1) , (2)
1
2
Masaki Suzuki
  • Function : Author
  • PersonId : 1023375
Quentin Plessis
  • Function : Author
  • PersonId : 1023376
Takeshi Kitahara
  • Function : Author
  • PersonId : 1001773
Masato Tsuru
  • Function : Author
  • PersonId : 998294

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.
Fichier principal
Vignette du fichier
419911_1_En_18_Chapter.pdf (564.02 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01643720 , version 1 (21-11-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

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⟩
68 View
94 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More