Research Of Vehicular Network Utility Optimization Based On Fog Radio Access Network

Since the second industrial revolution,vehicles have evolved into an integral part of modern life.With the improvement of people' s living standards and the development of wireless communication network technologies,the value of vehicle is no longer limited to being as a transportation,but as a network terminal,which provides users with diversified services.As an important application of the Internet of Things in Intelligent Traffic System,the vehicular network provides a powerful support for effectively solving urban traffic congestion,intelligent vehicle management,improving vehicle operating efficiency and safety,and creating a comfortable and entertaining vehicle environment.However,due to the high-speed mobility of vehicular users,the complex and varied network topology,the high-quality and low-latency demand of user services,and the proliferation of users and base stations,the development of the vehicular network is constrained.The development of the fifth generation(5G)mobile communication technology has provided a new opportunity for the vehicular network.As key technologies of 5Q the fog radio access network(F-RAN)and software-defined network(SDN)are significance to the management and performance improvement of the vehicle system.This paper mainly studies the resource management and mobility management in vehicular network based on F-RAN.Firstly,a "three clouds" vehicular network architecture based on F-RAN and SDN is proposed,called Software-Defined Fog Vehicular Network(SDF-VeNET).From the perspective of F-RAN,the architecture sinks some of the functions of computing,storage,management,and control into the network edge cloud,which shorten the distance to mobile users.From the perspective of SDN,the user plane is separated from the control plane,which enhances the management capabilities and efficient data transmission of the vehicular network system.Based on the proposed SDF-VeNET architecture,we study the resource management,especially the power control problem in the vehicular network.The energy of the base station and the user' s inter-interference are as constraints to minimize the system cost,then we model the optimal power control problem as a mean field game(MFG).For the MFG problem,the solution is solved by a joint finite difference algorithm.Finally,considering the high-speed mobility of vehicles,the mobility management,especially the handover management problem is studied.In this section,we first analyze two representative handover processes in the vehicular network:intra-edge cloud handover and inter-edge cloud handover.In order to improve the handover success rate of the users and avoid the high signaling overhead caused by unnecessary handovers,a QoS-based efficient handover method is considered.In this method,the system needs to determine whether the current user' s QoS satisfies the handover request threshold,and further judgments the remaining resources of the target cell can support the target user' s QoS requirement.Only when these two conditions are met,can the handover be triggered.The simulation results verify the convergence and effectiveness of the proposed algorithm.