Performance Analysis Of V2X Resources Selection And Physical Layer Security Based On Stochastic Geometry

The development of vehicle-to-everything(V2X)communication technology has received a lot of attention from researchers so far.And the analysis of vehicle communication performance is a key research problem in vehicular networking.This paper focuses on vehicle modeling and communication performance analysis of urban scenarios using stochastic geometry method.The research content is divided into three parts,which are:1)Performance analysis and optimization of successful reception probability in dense vehicle distribution urban scenarios based on 2D Poisson point process.2)Modeling and analysis of joint secrecy performance of vehicles in spatio-temporal based on 2D Poisson point process.3)Road and vehicle distribution modeling and security performance analysis for urban scenarios based on Poisson line process.In the first part,the successful reception probability is analyzed and optimized in a special scenario of dense vehicle distribution in urban areas.Firstly,we analyze the influence of the energy detection threshold setting on the successful reception probability of autonomous resource selection by vehicles under the dense vehicle distribution in urban areas,and then derive the interfering vehicle probability with resource occupation conflicts by using the stochastic geometry method.Finally,the theoretical results are verified by simulation,and conclusions are drawn on how to select the appropriate energy detection threshold to maximize the successful reception probability in the dense vehicle distribution in urban areas,and then optimize the communication quality.The second part presents the modeling and performance analysis of dynamic physical layer security for V2X.The expressions for the joint secrecy probability and joint secrecy throughput of vehicles at different locations and different moments are derived using stochastic geometry,and simulations are used to verify the theoretical results and the relationship between the dynamic physical layer security performance and each important parameter are analyzed.The third part uses the Poisson line process to model the road and vehicle distribution in urban scenarios,and based on a scheme that can effectively improve the security performance of the physical layer-a secure transmission scheme with the addition of interfering vehicles and artificial noise-expressions for coverage probability,secrecy probability and secrecy throughput are derived to analyze how to improve security performance by controlling the parameters.In order to verify the applicability of Poisson line process for modeling urban scenarios,the performance curves under the Poisson line process are compared with those under the two-dimensional Poisson point process modeling,and data on real roads from some urban roads in Xi’an,China,are imported for vehicle modeling and simulation to verify the correctness of the theoretical curves,and it is also demonstrated that the Poisson line process is more applicable to modeling urban scenarios than the two-dimensional Poisson point process.