Research On Optimization Of Power Control Strategy Based On LTE-V2V Internet Of Vehicles

With the development of modern communication technology,the concept of smart city is becoming more and more profound.As an important part of a smart city,Intelligent Traffic System(ITS)also plays a decisive role in the coordination of vehicles and roads.In the early days of ITS development,vehicles and vehicles could only communicate indirectly through the roadside unit(RUS),which could not guarantee the timeliness of information transmission,resulting in frequent traffic accidents.At present,the application of Long term evolution technology in WAVE has promoted the birth and rapid development of LTE-V2V(Long term evolution-Vehicle to Vehicle)technology,and LTE-V2 V technology has become the current One of the standard technologies of the IOV physical layer.The energy efficiency of in-vehicle communication terminals is critical to LTE-V2V-based in-vehicle collaborative sensing applications and other connected vehicle applications,and is the main goal of LTE-V communication system design and optimization.However,in a complex road network environment,the dynamics and randomness of traffic flow is a challenge for optimizing the energy efficiency of in-vehicle communication terminals in the LTE-V2 V application scenario;moreover,information about changes in environmental conditions is often not perfectly obtained.This also poses a major challenge to system optimization design.Based on the existing research on the LTE-V2 V communication protocol,this article mainly completed the following tasks:1.First,through the analysis of the channel load under the LTE-V2 V communication protocol,an algorithm for the power control of the vehicle communication terminal and the frequency adaptation of the broadcast beacon is proposed,and "vehicle power adaptation" and "broadcast" are proposed respectively The mathematical model of "beacon frequency adaptation" and "joint adaptation of vehicle power and broadcast beacon frequency",and the use of channel resourceoccupancy as a metric to verify the pros and cons of the model.2.Constructed a vehicular physical layer transmission model for LTE-V2 V,and revealed that the transmission power of the vehicle terminal and the broadcast beacon frequency have a coupling effect on energy efficiency.Accordingly,based on the Markov Decision Process(MDP)theory,a joint optimization model of communication power and beacon frequency considering dynamic random environmental conditions was established.The model aimed at maximizing the expected long-range cumulative energy efficiency.3.In order to cope with the problems of random changes in system state and unknown information,a joint optimization algorithm for communication power and beacon frequency based on deep strategy gradient algorithm(DDPG)was proposed,which can be implemented in the continuous communication power and beacon frequency feasible domain and Meet the constraints of power and beacon.4.Through the simulation of different traffic flow states,the proposed algorithm is fully simulated.The results show that the method proposed in this paper can effectively deal with the dynamic randomness of the environment,and,compared with several other advanced algorithms,Get higher energy efficiency.