Research On IoV Slicing And Resource Allocation Based On Edge Computing

Based on the heterogeneous requirements of Internet of Vehicles,logical isolation of Internet of Vehicles traffic under different service quality requirements is a key solution to the calculation and efficient allocation of wireless resources in vehicle access.In this paper,based on the key technologies of the fifth generation mobile communication system(5G)access network slicing,new non-orthogonal access technology and edge computing,the algorithm for efficient allocation of computing resources and wireless resources in the IoV scenario is studied,and the corresponding proposals The optimized solution is intended to solve the ultra-low latency needs of the Internet of Vehicles in the context of high vehicle density and limited edge computing resources,and improve wireless resource utilization and energy efficiency.This article first introduces the basic concepts of network slicing,IoV,and edge computing,and proposes an IoV access slicing architecture based on edge computing.This architecture implements a differentiated allocation scheme for acquiring edge computing resources for different slice data traffic,and based on this architecture,a strategy for computing resource allocation is proposed.By modeling and analyzing the delay of the Internet of Vehicles,a delay utility function is proposed to achieve the satisfaction of the system’s delay performance.Simulation experiments prove that the proposed access slicing architecture and computing resource allocation strategy can effectively improve the latency utility,ensure the latency performance requirements of the Internet of Vehicles,and at the same time increase the utilization rate of computing resources.Secondly,this paper studies the wireless resource allocation scheme based on FOFDM-NOMA under the IoV access slice architecture.This solution can achieve flexible granularity allocation of wireless spectrum resources based on access slices,and improve the spectrum utilization rate while ensuring a satisfactory rate for each access slice.Finally,in order to achieve the requirements of green 5G,the energy efficiency optimization goal of the system is proposed.Since the problem is a mixed integer nonlinear programming,the goal is decomposed into three sub-problems and solved by a stepwise iterative method.Simulation experiments prove that the F-OFDMNOMA scheme of the IoV access slice improves the energy efficiency of the system compared to the traditional OFDMA and OFDM-NOMA schemes.In the end,this paper summarizes the following research directions and can further explore the following aspects:in order to meet the heterogeneous access requirements of the Internet of Vehicles,research on the joint resource allocation scheme of multiple access methods;research on the mobility of vehicles.The impact of user grouping and computing resource scheduling;for the frequent switching of vehicles between different access points in 5G Internet of Vehicles,a quick switching scheme between slices or access points is designed.