System Research And Performance Analysis Of UAV Communication Network

In the future,mobile communication technology will establish a global coverage network that integrates air,space and ground.Unmanned aerial vehicles(UAV)which have become the first choice for low-altitude networks due to their low cost,flexible maneuverability,and easy operation.However,the characteristics of UAV also bring new challenges,such as short flight time,complex networking,and unstable communication quality.Therefore,reasonable planning of the location of UAV base stations,reducing communication power consumption and optimizing network performance to build an efficient and stable UAV communication network have become urgent problems to be solved.In this thesis,site planning and minimization of communication power consumption in UAV communication networks are first studied.Traditional planning strategies only aim for signal coverage,but ignore the impact of system transmit power on the network,thereby reducing the performance of communication systems.Therefore,this study proposes a fullcoverage geometric site planning strategy based on system transmission power,a circular coverage power optimization strategy.This strategy uses the mathematical model of the circular coverage problem to describe the full coverage process of UAV base station to ground users,optimizes the deployment with the goal of minimizing the transmitted power of the system,and strives to obtain an efficient and reliable site planning scheme.In order to better optimize this problem,this paper uses the binomial power function to continuously fit the discrete solution of the existing circle cover problem,and rearranges the circle cover power optimization formula.Through the analysis and proof of the convexity of the objective function under the circle coverage model,the optimal deployment quantity and site planning scheme of UAV base stations under the proposed circular coverage power optimization strategy are given after solving the convex optimization theory.This thesis also explores UAV assistive device-to-device communication network performance issues in order to maximize the user’s achievable throughput while ensuring Quality of Service(Qo S).Therefore,the concept of effective capacity is introduced to describe the influence of system delay on Qo S,and the optimization objective function constrained by Qo S is condensed.For the UAV auxiliary emergency communication network,the convexity of the effective capacity maximization problem is analyzed.Then,the performance of UAV communication network is analyzed while considering the statistical delay Qo S constraint,and the Karush-Kuhn-Tucker condition is used to give the optimal power allocation result.In addition,this paper simulates and verifies the performance of the proposed circular coverage power optimization site planning strategy and the power optimization scheme constrained by Qo S requirements.The simulation results show that compared with the traditional hexagonal strategy and the minimum power loss strategy,the circular coverage power optimization site planning strategy can save 14.75% and 6.52% of the power resources.In the emergency communication scenario,the proposed algorithm can achieve better system performance under statistical Qo S constraints.The verification of these two strategies provides a valuable reference for the design and optimization of UAV communication systems,and provides a promising solution for further improving the performance and efficiency of UAV communication networks.