Research On Radio Resource Allocation Strategy In Vehicular Network Based On Network Slice

With the further development of the urbanized society and the national economy,the car ownership will continue to increase,how to effectively improve traffic safety and management efficiency has become a fundamental problem urgently.Intelligent transportation system(Intelligent Transportation System,ITS)is regarded as the key technology to solve this problem,aiming to integrate computer network technology,sensor network technology and information communication technology into the transportation field to strengthen drivers,vehicles and roads Information exchange between.Vehicle-to-Everything(V2X)as an important part of realizing a new generation of intelligent transportation system,vehicles are equipped with On-board Unit(OBU)to realize vehicle-to-vehicle communication(Vehicle-to-Vehicle,V2V)),Vehicle-to-infrastructure communication(Vehicle-to-Infrastructure,V2I)and vehicle-to-base station communication(Vehicle-to-Networks,V2N)and other comprehensive connections are one of the important application scenarios of the new generation of information science and technology.In the research of vehiclar network wireless resource management and allocation,it mainly includes the problems of resource selection collision avoidance,power control and resource sharing.However,in order to meet the growing demand of vehicular network business,modern information technologies such as Mobile Edge Computing(MEC),Cloud Computing,and Big Data have been widely introduced into vehicular network.The relationship of multiple resources are tightly coupled,single resource allocation is difficult to achieve breakthroughs in system performance,joint multiple resources allocation is an inevitable trend of resource management and allocation.In addition,the massive V2X business volume also puts forward diversity and differentiation requirements for Quality of Service(QoS),a traditional physical networking method with a single service is used to provide services is easy to cause a series of problems such as high hardware cost and difficult network operation and maintenance,new technologies are urgently needed to solve them.In view of the above problems,this paper studies the problem of caching and delivery,computing tasks offloading in vehicular network,the main work contents are as follows:1.For partial computing tasks offloading,this paper introduces network slice technology into the V2I uplink to reduce the latency of system vehicle computing task offload processing,and proposes an improved genetic algorithm.The algorithm selects the same type of genes in the same kind of individuals as the crossover and mutation operation objects,which effectively ensure the invariance of the amount of the same kind of resources.Simulation results show that the algorithm proposed in this paper has good system performance and fast convergence speed.2.For content caching and delivery,this paper introduces network slice technology into V2I downlink,and proposes a joint communication resource,cache resource,and file placement selection algorithm.The algorithm aims to reduce the average delay of the system vehicle downloading files,which is solved by disassembling the optimization objective function into communication resource optimization sub-problems and joint cache resources and file placement selection optimization sub-problems,then combined with a two-step iterative algorithm obtain a suboptimal solution.Simulation results show that the algorithm proposed in this paper can effectively solve the problems of low popularity and high security file request hit rate and differentiated service quality requirements between different files.