Hybrid Vanets Based On RF And VLC Technologies Research On Resource Allocation Algorithm

Vehicular Ad Hoc Networks(VANETs)is an interactive wireless network that uses wireless communication technology to connect vehicles,infrastructure and pedestrians,and is an important part of realizing intelligent transportation to facilitate people’s life and travel.However,as the scale of VANETs becomes larger and larger,the radio frequency(RF)based wireless communication method can no longer meet the needs of people.Visible Light Communications(VLC)has attracted a lot of attention from scholars because of its rich optical spectrum resources,low power consumption,high bandwidth,green and other advantages.However,in practice,VLC has shortcomings based on line-of-sight and susceptibility to occlusion.So this paper combines RF and VLC according to the characteristics of the two communication methods and applies them to vehicle-to-vehicle communication in VANETs,and investigates the resource allocation problem of RF/VLC hybrid networks.The research in this paper is as follows:Firstly,this paper analyzes the necessity of resource allocation in wireless communication network,and introduces the performance indicators of resource allocation and the characteristics of different allocation algorithms.Through the analysis and comparison of different resource allocation algorithms,the intelligent algorithm of reinforcement learning is selected for the follow-up research,and the reinforcement learning algorithm based on single Agent and multi-Agent are emphatically introduced.Finally,The feasibility of reinforcement learning algorithm to solve the resource allocation problem of hybrid VANETs is analyzed and demonstrated;Secondly,combining the advantages of RF communication and VLC communication,constructing RF/VLC hybrid communication model.Considering the impact of the scale of VANETs on resource allocation,vehicles on the road are firstly grouped,and RF/VLC hybrid communication model is used to communicate between cluster members and cluster heads within the cluster.Then this paper proposes a channel assignment algorithm.The single agent reinforcement learning algorithm is used to make intelligent decision of cluster heads,and channels are allocated to cluster members according to the location of cluster heads.Finally,channel resources in hybrid VANETs are allocated.It enables the vehicles on the road to have a stable clustering structure to improve the performance in terms of workshop communication quality,link connectivity time and energy consumption;Finally,considering the impact of interference between vehicles on communication quality in the communication process,this paper optimizes the above RF/VLC hybrid communication model,constructs an RF/VLC hybrid communication model based on interference adaption,and jointly allocates channel and power to the hybrid network resources within the cluster,considers that different cluster members will affect each other,selects a multi-Agent reinforcement learning algorithm for resource optimization,and model this resource optimization problem as a distributed Markov decision process,set up the Agent,observation space,action space,and reward,and finally complete the joint allocation of channel and power resources in hybrid RF/VLC VANETs.To improve the performance of hybrid VANETs in terms of energy efficiency,transmission rate and energy consumption.