Resource Allocation And Dynamic Mode Adaptive Switching For V2V Communication In Cellular Vehicle-to-everything Networks

Cellular Vehicle-to-Everything(C-V2X)is one of the research hotspots in recent years.C-V2X includes V2V(Vehicle-to-Vehicle),V2I(Vehicle-to-Infrastructure),V2P(Vehicleto-Person),V2N(Vehicle-to-Network)and other communication types.V2V communication is currently one of the main technologies to solve the security issues for road traffic.In order to improve the performance of V2V communication,this paper studies resource allocation and mode switching.Firstly,the system structure and communication types of C-V2X networks are introduced in this paper.The V2V communication modes and the main performance indicators of communication links in different modes are analyzed.The spectrum resource allocation modes for V2V communication are investigated.And the possible interference caused by multi-vehicle spectrum reuse in the direct mode and common research methods for resource allocation are analyzed.In order to improve the spectrum resource utilization and throughput of C-V2X networks,this paper focuses on the resource allocation problem for V2V communication based on the direct mode,including spectrum resource allocation and power control.For the V2V spectrum reuse mode where V2V direct links reuse cellular user uplink spectrum resources,a spectrum resource allocation algorithm is proposed in this paper.The simulation results show that the proposed algorithm can reduce interference well.Then,a power control scheme based on the exact potential game is proposed.The simulation results show that the proposed power control scheme can achieve higher average throughput and total energy efficiency for the V2V direct links.Finally,this paper considers the communication mode switching scenarios of multiple V2V vehicles pairs in the dynamic driving process.Due to the uncertainty of vehicle position,the vehicle state prediction model based on the Kalman filter algorithm is established in this paper.And the simulation proves that the optimal estimated position obtained by the vehicle state prediction model can effectively reduce the error of the measured position.Then,a dynamic V2V communication mode adaptive switching scheme based on the optimal estimated distance between vehicles is proposed.This paper simulates the total throughput of the V2V communication links in different communication modes.The results show that the total throughput of the V2V communication links is optimal when there are two communication modes simultaneously.On this basis,the simulation analysis of different mode switching methods in the driving process is carried out.The results show that compared with the mode switching method based on the measured distance between vehicles,the proposed mode switching scheme can achieve higher average throughput for V2V communication links.