Traces mobiles afin de caractériser les usages et la mobilité des utilisateurs

Yannick Léo 1, 2 Anthony Busson 3, 2, 1 Carlos Sarraute 4 Éric Fleury 2
2 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
Abstract : Cellular communications are evolving quickly to constantly adapt and tolerate the load induced by the increasing number of phones. Understanding the traffic is crucial to refine models and improve experiments. In this context, one has to understand the temporal and spatial user behavior at different levels. At the user scale, the usage is not only define by the amount of calls but also by the user’s mobility and type of communication. At a higher level, the BS have a key role on the flow quality. In this paper, we propose a 1-year Call Detail Records (CDR) analysis in Mexico in order to catch on usage turnovers and investigate overlooked parameters such as the call duration. Moreover, we look into handovers (switching from a station to an other one). Our study suggests that user mobility is pretty dependant to user calls.
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Submitted on : Wednesday, May 11, 2016 - 10:29:12 AM
Last modification on : Thursday, February 7, 2019 - 4:16:33 PM
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  • HAL Id : hal-01304956, version 1


Yannick Léo, Anthony Busson, Carlos Sarraute, Éric Fleury. Traces mobiles afin de caractériser les usages et la mobilité des utilisateurs. ALGOTEL 2016 - 18èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, May 2016, Bayonne, France. ⟨hal-01304956⟩



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