Research On Efficient Resource Allocation Algorithm In V2I Communication Of Vehicular Network

Vehicle to Infrastructure(V2I)communication in Internet of Vehicles(IoV)is an important way to improve traffic efficiency and video transmission quality.Autonomous vehicles need to interact with base stations(BSs)in real time with a large amount of data in the process of driving.At the same time,it also needs a lot of communication resources to provide the high-quality entertainment videos to the occupants.Therefore,the design of efficient resource allocation algorithms in V2I systems has attracted wide attention under the constraint of limited communication resources.Aiming at the two scenarios of improving traffic efficiency and video transmission quality in IoV,this thesis focuses on the efficient resource allocation algorithm,which provides the theoretical basis for the practical engineering implementation of IoV.Considering the scenario that the BS transmits position-related information to multiple autonomous vehicles in the coverage area,the optimal power allocation algorithm of the BS is studied under the total transmission power constraint,so as to balance the traffic efficiency and communication overhead.Firstly,the massive Multiple Input Multiple Output(MIMO)IoV system model is established.The ratio of transmission power to velocity(PVR)is taken as the optimization objective in order to jointly characterize the communication overhead and system power consumption;and the optimization of both single vehicle PVR and system PVR problems are modeled.Secondly,for the optimal vehicle PVR problem,the closed solution without power constraints is derived,based on of which the power allocation algorithm under the power constraints is proposed;For the optimal system PVR problem,a power allocation algorithm is proposed by transforming the non-convex problem into a convex problem.And the asymptotic optimal solution of vehicle and system power allocation under extreme power constraints is analyzed.Finally,the two optimal power allocation algorithms are compared with other schemes under different simulation parameter settings,and it is verified that the two proposed algorithms can significantly reduce both the vehicle PVR or system PVR.Considering the scenario where a BS with a discrete lens antenna array transmits the scalable video code(SVC)videos to vehicles,the communication overhead and video transmission quality are optimized jointly by designing the power allocation and antenna selection algorithms in IoV.Firstly,the system model of SVC video transmission in millimeter wave MIMO IoV is established,and the ratio of SVC video quality to the required transmission power(QPR)is defined,and the optimization of vehicle QPR problem is modeled.Secondly,in order to simplify the solution,the original optimization problem is decoupled into two subproblems of antenna selection and power allocation.For antenna selection sub-problem,an antenna selection algorithm based on equivalent channel gain is proposed,and an iterative algorithm is designed to improve the results of antenna selection.For power allocation sub-problem,an optimal power allocation algorithm is proposed by analyzing the optimal solutions under three transmission power constraints.Finally,the antenna selection algorithm and power allocation algorithm are simulated and compared with other schemes.The simulation results indicate that the optimal antenna selection scheme has good performance and moderate complexity,and the optimal power allocation scheme can significantly improve the vehicle QPR.