Research On Resource Scheduling Algorithm Based On Services Priorities In 5G IoV

The development of the automobile industry not only promotes the development of social economy,but also causes problems such as traffic accidents and traffic congestion.In order to improve the safety and intelligence of the transportation system,the Internet of Vehicles came into being.The Internet of Vehicles communication technology based on the fifth generation mobile communication technology has become the mainstream communication technology of the Internet of Vehicles due to its low latency and high reliability.Radio resource scheduling is one of the main factors affecting the performance of communication systems.This thesis mainly studies the 5G Internet of Vehicles resource scheduling algorithm.This thesis analyzes the scene system model,business scenarios,key technologies of 5G Internet of Vehicles,and the algorithm principle,advantages and disadvantages of resource allocation algorithm based on graph coloring clustering and resource allocation algorithm for cluster priority scheduling for the Internet of Vehicles scenarios of vehicle-to-vehicle and vehicle-to-infrastructure communication.The analysis results show that compared with the traditional resource scheduling algorithm,these two algorithms can effectively improve the system throughput,but there are also some shortcomings such as not considering the users transmission power adjustment.This thesis takes resource allocation algorithm based on graph coloring clustering and resource allocation algorithm for V2 V priority scheduling as the basic algorithm,and implements the research and optimization of resource scheduling algorithms in 5G Internet of Vehicles.Aiming at the problem that the transmission power adjustment is not implemented for the users in the basic algorithm,this thesis proposes a dynamic penalty factor power control algorithm.Firstly,prioritize for the service according to service delay and reliability requirements,aiming at maximizing the system throughput,and representing the utility function as the throughput minus penalty function of all users that multiplex the same resource block minus penalty function.Then,the Lagrangian dual algorithm is used to dynamically adjust the users transmission power.Finally,simulation results by MATLAB show that the dynamic penalty factor power control algorithm increases the system throughput by 14.8% compared with the power control algorithm with a penalty factor fixed at 100.Aiming at the unreasonable order of resource allocation in the basic algorithm,that is,whether it is first allocated to cellular users or V2 V users,this thesis proposes a resource scheduling algorithm for 5G Internet of Vehicles based on power control.Firstly,the system resource blocks are divided into two types: cellular users priority and V2 V users priority.Then,to maximize the system throughput,the users power control and resource allocation collaborative optimization are realized,and the problem is transformed into two sub-problems: resource allocation and power control.In the case that the transmission power of the users is fixed,the allocation of system resources is implemented in a sequential manner;in the case where the users resource allocation strategy is fixed,the gradient transmission method is used to adjust the transmission power of the users.Finally,simulation results by MATLAB show that the system throughput of the proposed algorithm can improve system throughput effectively.At the same time,it increases the access rate of users.