Mobility management: deployment and adaptability aspects through mobile data traffic analysis Articles uri icon

publication date

  • December 2016

start page

  • 3

end page

  • 14

volume

  • 95

international standard serial number (ISSN)

  • 0140-3664

electronic international standard serial number (EISSN)

  • 1873-703X

abstract

  • The expected boost in mobile data traffic and the evolution towards the next generation of networks are making cellular operators reconsider whether current approaches for handling mobility could be improved, according to the characteristics of the mobile traffic that actually flows through real networks. In this work, we make use of extensive analysis of real network traces to infer the main characteristics of mobile data traffic for a particular operator. Our analysis focuses on the features related to mobility, i.e., location information, number of handovers, or duration of the data traffic exchange. New techniques to gather the mobility characteristics of the user based on data and control packets correlation are designed and applied to compare the gains of deploying different mobility management approaches.

keywords

  • Mobility
    Handover
    Distributed mobility management (dmm)
    Big data
    Traffic analysis
    Data-networks