Performance Analysis And Optimization For Handover Of Vehicular Network Based On Poisson Line Process

With the large-scale commercial use of the fifth-generation mobile communication technology,low-latency and high-reliability communication networks provide a prerequisite for the rapid development of Internet of Vehicles.Compared with traditional wireless communication,vehicles in Internet of Vehicles have the characteristics of strong randomness and fast moving speed.Especially in the ultra-dense networking scenario,a large number of unnecessary handovers are accompanied during the movement of vehicles,which leads to the deterioration of the network communication quality.Therefore,under the premise of ensuring user’s QoS,reducing the number of unnecessary handovers has become an important goal in the research of IoV handover.Based on the above background and combined with the current stochastic geometry research that applied to Internet of Vehicles,this thesis uses the mathematical tool of stochastic geometry and analyzes the performance of the Internet of Vehicles under conventional handover and handover skipping,such as handover probability and joint coverage probability.At the same time,a handover skipping scheme based on joint coverage probability is proposed,and parameters are adjusted to achieve joint optimization of handover times and throughput.This thesis firstly studies the joint coverage probability of vehicles in PLP-based V2X scenarios.In the initial case where the vehicle is connected to the service point on the same line(the roadside unit with which the vehicle interacts with the data),this thesis studies the handover probability and joint coverage probability when moving in the direction away from and close to the service point.Firstly,the network is modeled according to the characteristics of road topology,vehicle driving characteristics and channel characteristics,and then the handover probability after motion is deduced according to the knowledge of stochastic geometry.The joint coverage probability in the case of with and without handover is obtained respectively,and the final expression of the joint coverage probability is obtained according to the full probability formula.Finally,the correctness of the theoretical analysis is verified by Monte Carlo simulation.In this thesis,a handover skipping strategy for the Internet of Vehicles based on joint coverage probability is studied.Firstly,the network is modeled according to the road topology and channel characteristics,and the joint coverage probability in the handover skipping scenario is derived by using stochastic geometry.Then,based on the joint coverage probability,a handover skipping strategy for the Internet of Vehicles is proposed.Sumo is used to obtain real road sections and vehicle information for simulation.The handover frequency and average throughput of handover skipping,conventional handover and handover strategy of relative RSSI with threshold are compared.The simulation results show that the handover frequency is reduced by about 40%under the premise of keeping the average throughput basically unchanged.