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Mobile Edge Assistance Information for Radio Access Network Optimization

Fifth generation (5G) networks are expected to incorporate more intelligence in order to predict the traffic and mobility patterns and to optimize the performance. Multi-access-Edge Computing may contribute to performance optimization by distributing cloud computing and storage capabilities in the vicinity to end users. In this paper, we propose a new mobile edge service which enables external applications to provide information about foreseen or expected User Equipment (UE) activity and mobility. The applications may gather radio network and location information to calculate UE behavior patterns and to send to the network information that may help to optimize resource management procedures.