Resource Management Based On Non-cooperative Game Theory In Fog Radio Access Network

With growth in intelligent mobile devices and wide usage of bandwidth-hungry applications of mobile Internet,the demand of wireless data traffic and mobile broadband is rapidly increasing.Owing to these developments,the research on fifth generation(5G)networks presents an accelerative tendency in the word.Fog computing is regarded as an extension of cloud computing services to the edge of the network,which improves network congestion and performance.Integrating fog computing with radio access network(RAN),fog radio access network(FRAN)takes full advantage of local radio signal processing,cooperative radio resource management,and distributed storing capabilities in edge devices.In this paper,we do in-depth study on fog radio access network,which focus on the mobility management,interference mitigation and resource optimization.First of all,a description of FRAN architecture is provided.In FRAN,there are a great deal of storage,communication,configuration,control,process,measurement and management implemented in the edge of network.The network edge layer is an integral part to the FRAN.Based on that,we propose the Network Functions Virtualization(NFV)based FRAN architecture,where the NFV technology is applied at the core network.Then,the mobility management(including handover signaling procedures),interference mitigation,and uplink resource allocation mechanisms for FRAN are presented in next part.Simulation results have demonstrated that the proposed NFV based FRAN architecture in conjunction with the mobility management scheme can significantly reduce the burden of fronthaul,backhaul,and backbone networks and decrease the signaling overhead of handover compared to conventional RAN.The proposed uplink resource allocation scheme based on an F-AP non-cooperative game can effectively mitigate the cross-tier interference and increase the total net utility of the FRAN.