Research On Heterogeneous Resource Allocation Strategy Of Internet Of Vehicles Based On Beamforming Technology

In order to meet the challenges posed by mobile Internet and other emerging services to the communication system,this thesis studies the heterogeneous resource allocation strategy based on beam shaping for two scenarios of Internet of Vehicles edge computing and fleet communication,based on the Internet of Vehicles scenario of autonomous vehicles.First of all,in the context of edge computing of the Internet of Vehicles,this thesis designs a millimeter wave hybrid beam shaping strategy for the particularity of perception task processing delay requirements caused by autonomous vehicles in different traffic areas.On the premise of meeting the latency requirements for vehicle task processing,jointly design beams and computing resources,prioritize serving vehicles in areas with higher traffic density,in order to improve overall vehicle throughput within the region.For this algorithm,this article considers two scenarios: single road segment and intersection.In the single road segment scenario,the suboptimal solution of the optimization problem is found by adjusting the mixed beamforming matrix between each vehicle and the Road Side Unit(RSU),the computational resources of the vehicle,the upload proportion of vehicle tasks,and the proportion of computing resources allocated by the server at the RSU; On the basis of a single road section,the scheduling relationship between vehicles and each RSU is additionally considered in the intersection scenario.Through the analysis and simulation of the two scenarios,the algorithm proposed in this thesis can effectively reduce the vehicle task processing delay.Compared with the traditional edge computing algorithm,the algorithm proposed in this thesis shows better performance.In the Internet of Vehicles,in addition to a large amount of perceptual services,there are also some small amounts of indicator information and other services.This information usually needs to be transmitted through direct communication in the workshop,which is not sensitive to computing resources but has high latency requirements.Considering the different security requirements of different types of information,this article proposes to deploy Reconfigurable Intelligent Surface(RIS)within the fleet to further enhance information security and channel rate,thereby achieving overall communication enhancement.This article considers two scenarios for the algorithm,one without RSU assistance and the other with RSU assistance.In the absence of RSU assistance,communication within the fleet is carried out through millimeter waves,and the beam matrix and RIS element diagonal matrix of the leading vehicle are jointly adjusted to find suboptimal solutions to the optimization problem.In the RSU assisted scenario,this article proposes a hybrid deployment of DSRC bands to reduce communication interference within the fleet,and additionally adjusts the beam matrix at the RSU for communication enhancement.The simulation results show that the algorithm proposed in this article can effectively improve the channel rate obtained by fleet vehicles and reduce the channel rate of foreign vehicles obtaining signals with high safety.Compared to the algorithm that only uses beamforming,the proposed scheme in this thesis exhibits more excellent performance.