With the increasing demand for temporary network coverage in unnetworked areas and supplementary network coverage in hot spots,ground cellular communication networks cannot accurately and timely meet the above requirements.With the advantages of high mobility,flexible deployment and high economic benefits,Unmanned Aerial Vehicle(UAV)network is expected to break through the limitations of traditional ground cellular network and provide new possibilities for the coverage of target regional network.Therefore,it has attracted extensive attention from academia and industry in recent years.However,the average cell throughput,edge user rate,average user rate and other performance of UAV network are difficult to obtain through theoretical analysis and field test deployment.Therefore,a system-level simulation platform for UAV communication networking is built in this paper,and the factors such as UAV height,antenna inclination and UAV deployment position are evaluated.The main research contents and innovation points of this paper include:1.Design and construction of the system-level simulation platform for UAV communication networkingAiming at the communication networking scenario of UAV as an aerial base station and the needs of UAV network performance evaluation,design and build a dynamic system-level simulation platform for UAV communication networking.Through the abstract modeling of the UAV base station communication network,complete the UAV parameter initialization module,time lapse module,UAV base station module,etc.,and realize and verify the deployment model,UAV antenna model and air-to-ground propagation in related modules.Model and adaptive coding and modulation and other functions.2.Analysis and evaluation of single drone network capacity and coverage performanceFirst,through the link budget,complete the theoretical analysis of the coverage of a single UAV.Secondly,the throughput of the single UAV base station scenario is simulated and evaluated,and the impact of the two key factors of UAV height and antenna downtilt angle is explored.The results show that under the condition that the height of the drone changes from 1Km to 5Km,the throughput of the drone network gradually increases as the height of the drone increases,and the cell throughput can increase to 190%at the maximum;when the coverage is given When the drone’s network performance increases firstly and then declines as the antenna downtilt angle increases,the UAV network performance will increase by 78%at the maximum.At the same time,according to multiple simulation results under height and antenna downtilt,the best antenna tilt fitting curve for different heights within a fixed coverage area is drawn.3.Analysis and optimization of multi-drone network capacity performanceThe number and location of drones are the primary factors affecting the performance of multi-UAV communication networking.Most of the existing studies have analyzed the clustering effect under different number and location conditions,but the clustering effect cannot completely represent the quality of the communication performance.Therefore,this paper uses the system-level simulation platform to simulate and simulate the number of different drones and the location of the drones.Impact on communication network indicators.Specifically,first consider the selection of the number of drones and the deployment location of drones,and use the K-means++algorithm to optimize the location of the initial cluster center.Since the UAV uses a directional antenna with adjustable antenna pointing,this paper proposes a compound algorithm based on the K-means++algorithm to deploy the UAV’s position.The simulation results show that in a given simulation area,as the number of drones increases,the transmission success rate first increases and then stabilizes;the average throughput of the cell first increases and then stabilizes.The algorithm in this paper is compared with K The-means algorithm can increase by about 25%;the rate of edge users gradually increases.Compared with the K-means algorithm,the algorithm in this paper can increase by about 157%.In order to further optimize the performance of the UAV communication network,the antenna downtilt angle is adjusted according to the coverage radius to reduce the interference between different UAVs.The improved network performance(cell average throughput,edge user rate,average user rate)is increased by about 100%compared with the previous algorithm.By building a system level simulation platform for UAV communication networking,this paper analyzes,simulates and evaluates the network coverage and throughput performance of single UAV and multi-UAV,which provides a reference for the deployment performance research of UAV base station. |