Research On Resource Allocation Of C-V2X And VANET Heterogeneous Vehicle Network

Thanks to the commercialization of 5th Generation(5G),the data transmission volume of Cellular-based Vehicle to Everything(C-V2X)based on cellular network has exploded,and C-V2 X Expanding to the unlicensed frequency band and vehicle-mounted self-organizing network(Vehicular Ad-hoc Network,VANET)fusion application to expand system capacity has aroused widespread concern.However,due to the high dynamics of Io V,the user’s requirements for quality of services(Qo S)are gradually increasing,especially the demand for personalized Qo S.In view of the coexistence of C-V2 X and VANET heterogeneous car networking on unlicensed frequency bands,this paper mainly studies the time-frequency resource allocation algorithm of wireless networks to meet users’ personalized Qo S requirements on the basis of harmonious coexistence and enhance heterogeneous networks Comprehensive performance.First,users are divided into emergency users and nonemergency users according to the sensitivity to delay when transmitting different types of services in the Internet of Vehicles.By collecting the user’s current speed,location,demand and other status information,the transmission time is dynamically adjusted and user access Enter the network to allocate resources reasonably.Then,the unit transmission time is divided into a contention period(Content Period,CP)and a noncontention period(Content Free Period,CFP)with adjustable proportions to reduce channel conflicts,and the average access time of VANET and C-V2 X users is derived The mathematical model of delay and throughput,and use the above mathematical model to establish a joint optimization problem with the goal of minimizing delay and maximizing throughput.In order to quickly solve this nonlinear programming problem with discrete variables and continuous variables,a discrete multi-objective joint optimization algorithm based on Bender decomposition and Particle Swarm Optimization(Particle Swarm Optimization,PSO)is designed,which iteratively updates the two optimization goals continuously Until the Pareto optimal solution is obtained,the optimal allocation scheme of transmission time and user access scheduling is obtained.Finally,simulation experiments are carried out on the algorithm to verify the effectiveness of the proposed delay-throughput joint optimization strategy.Experimental results show that this thesis effectively improves the overall network performance on the basis of ensuring the Qo S requirements of emergency users and non-emergency users;compared with other existing algorithms,the algorithm proposed in this thesis can ensure the accuracy of the solution It can reduce the computational complexity by 15%.The research results of this thesis can provide reference for the integration of heterogeneous Internet of Vehicles.