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Classifying call profiles in large-scale mobile traffic datasets
2014
IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
Cellular communications are undergoing significant evolutions in order to accommodate the load generated by increasingly pervasive smart mobile devices. Dynamic access network adaptation to customers' demands is one of the most promising paths taken by network operators. To that end, one must be able to process large amount of mobile traffic data and outline the network utilization in an automated manner. In this paper, we propose a framework to analyze broad sets of Call Detail Records (CDRs)
doi:10.1109/infocom.2014.6848119
dblp:conf/infocom/NaboulsiSF14
fatcat:ctygxtdx2vcopjoudcpsi5maza