Research On The Strategy Of Autonomous Resource Allocation In The Internet Of Vehicles

The IoV(Internet of Vehicles)supports the interconnection between vehicles and surrounding vehicles,roadside stations,road ancillary equipment,and pedestrians,helping to reduce traffic accidents,increase road throughput,and improve user experience,etc.At present,the mobile communication standardization organization is carrying out the standardization work C-V2X(Cellular Vehicle-to-Everything)of the Internet of Vehicles,in which the allocation of vehicle communication resources is its key technology.In C-V2 X,there are two resource allocation modes for the vehicle-to-vehicle communication link.One is a centralized resource allocation model based on the base station,and the other is an autonomous resource allocation model based on the vehicle.In the vehicle-based autonomous resource allocation model,the half-duplex communication mode of the vehicle,the resource preemption mechanism,and the hidden node problem of the vehicle will cause communication resource collisions.The thesis studies the collision problems and solutions in the process of autonomous resource allocation.The main research work and innovative results obtained are as follows.This article summarizes the communication requirements of the Internet of Vehicles;introduces the key technologies of typical C-V2X;focuses on the mainstream Internet of Vehicles autonomous resource allocation strategy and the problems it faces;on this basis,analyzes the challenges faced by the vehicle autonomous resource allocation strategy.Aiming at the problem of resource collision caused by half-duplex communication mode and resource preemption mechanism,an autonomous resource allocation scheme based on collision avoidance is proposed.The program includes two collision avoidance mechanisms.One is the collision avoidance mechanism for the half-duplex communication mode.Io V users use half-duplex communication.When a vehicle transmits data packets,it cannot receive data packets transmitted by other vehicles on different frequency resource blocks at the same time slot.In the process of candidate communication resource selection,this paper excludes the resources on the time slots that the frequency resource block occupies the most,guarantees the balance of candidate resources in each time slot,and reduces the probability of resource collisions between vehicles in the half-duplex communication mode.The second is the collision avoidance mechanism for the resource preemption mechanism.When there are fewer free time-frequency resources,the vehicle will put the reserved time-frequency resources into the candidate resource set.If the occupation period of the preempted resource is the same as the transmission period of the vehicle,continuous resource collisions between the own vehicle and the preempted vehicle will happen.When selecting preempted resources,this article first perceives the occupation period of the preempted resources,excludes the same preemptible resources as the own vehicle period,and reduces the probability of resource collisions between the own vehicle and the preempted vehicle.Through theoretical derivation and simulation analysis,the effectiveness of the proposed autonomous resource allocation scheme is verified.Aiming at the resource collision caused by hidden nodes in the autonomous resource allocation strategy,an autonomous resource allocation scheme based on collaborative perception and resource reconstruction is proposed.This solution adds a collaborative perception mechanism.When a resource collision occurs between a vehicle and a hidden node vehicle,if a third-party vehicle finds the resource collision,it will broadcast a collision message;the vehicle that receives the collision message will immediately enter the resource selection process to avoid further collisions.This paper constructs a probabilistic model of the hidden node collision problem in the Internet of Vehicles,quantitatively analyzes the performance of the hidden node vehicle to the existing autonomous resource allocation strategy and the proposed scheme,and verifies the performance of the proposed scheme through quantitative analysis and simulation.