Research On Wireless Resource Management Technology Of Vehicle To Vehicle Communication Based On NR

In recent years,with the development of communication technology,the Internet of vehicles has attracted more and more attention.From the perspective of demand,the car ownership per capita of all countries is rising.With the increase of vehicles,the congestion is becoming more and more serious,and the traffic accidents are increasing.From a business perspective,the Internet of vehicles is the most important application scenario in ultra reliable low latency communication,and is expected to become the most successful vertical industry application in the 5G(the 5thGeneration)era,which contains huge business opportunities.From a technical point of view,the emergence of 5G solves the problem of time delay and provides strong technical support for the commercial use of Internet of vehicles.From the perspective of standards,the relevant standards of the Internet of vehicles have begun to take shape,and the progress is very rapid.But at the same time,the wireless resources of V2X(Vehicle to Everything)are very limited,plus the huge number of users,the narrow urban space,and the high requirements for reliability,all of which pose great challenges to the popularity of the Internet of vehicles.Therefore,how to efficiently manage the V2X wireless resources has become a hot issue.This paper focuses on the research of wireless resource management technology of V2X communication,including resource selection algorithm,retransmission and power control.This paper tries to start from different technical angles,put forward a complete technical scheme,optimize the wireless resource management,and improve the system performance of V2X communication.This paper starts with the unicast resource selection algorithm of V2X,expounds the essence of the traditional algorithm which relies on the sender,and the resulting hidden station and exposed station problems,and proposes two algorithms based on the receiver and the sender and receiver.Simulation results show that the two algorithms can achieve better performance.Secondly,this paper studies the retransmission mechanism of V2X.Focusing on the impact of retransmission on the system,it continuously optimizes the retransmission scheme,and finally develops three kinds of V2X retransmission mechanisms,such as blind retransmission.Simulation results show that the three retransmission mechanisms can improve the system performance under appropriate conditions.Finally,this paper considers power control of V2X from path loss and reinforcement learning.On the one hand,by establishing the mathematical formula based on path loss,a power control scheme based on path loss is proposed.Aiming at the problems of the scheme in the mixture scenario,the resource exclusion optimization scheme based on power difference is further proposed.Simulation results show that the former can effectively improve the success rate of data reception,and the latter can basically solve the problem of the former.On the other hand,by quantifying the system performance as the objective function and taking the objective function as the reward function of Q-learning,a power control scheme based on Q-Learning is proposed.Simulation results show that the scheme can also improve the success rate of data reception.