Research On UAV Flight And Communication Strategy Design Based On Limited Air-ground Connection

Thanks to the low cost,maneuverability and flexibility of Unmanned aerial ve-hicles(UAVs),UAVs have been widely used in various fields.The reliable commu-nication connection between the UAV and the control terminal is a key prerequisite for the safe flight and operation of the UAV.However,the high-speed location change of the UAV will cause the UAV to face the problem of limited connection and inter-ruption.In order to solve the connectivity problem of UAVs,this paper focuses on two scenarios:the cellular connection limit of networked UAVs and the connection limit of UAV auxiliary information sending and receiving.The optimization of the path to complete the flight mission is achieved on the premise of ensuring the quality of communication services.The specific content is attributed to the following two aspects:1.Research on trajectory optimization strategy of networked UAV.It is assumed that UAVs,as air users,maintain real-time communication with ground base sta-tions(GBS)to ensure flight safety and information transmission.In view of the con-nection limitations of networked UAVs,first of all,we perform feasibility analysis on the flight path of the UAV according to the connection restrictions and determine the appropriate ground base station sequence,and then continuously update the handover point of the UAV between the base stations according to the principle of triangular inequality optimizing the flight path,next proposed the definition and location of turning handover point and non-turning handover point when the UAV path is opti-mized,and finally formed a triangular inequality iterative algorithm.Simulation re-sults show that our algorithm has lower complexity than other optimization algo-rithms,and this algorithm can significantly reduce the flight path length of the UAV.2.Research on trajectory optimization strategy of multi-UAV multicast trans-mission.The UAV can be used as an air base station to collect information/data dis-tribution of internet of things devices in certain areas.Multicast technology can quickly realize one-to-many information transmission.We use a heuristic algorithm to minimize the number of hover points while ensuring the quality of communication services,and use an adaptive power allocation algorithm to maximize system capacity Based on the azimuth relationship between the starting point and the hover point,a hover point assignment algorithm is proposed to minimize the task completion time.Finally,the simulation results verify the feasibility of the research plan in this chapter.In summary,in view of the problem of limited UAV air connection,we introduce the concept of cellular networks in the scenario of UAV communication by rationally planning the UAV-GBS sequence and the location of the handover point in multiple GBSs to optimize the flight path of networked UAVs.In the face of UAV-assisted communication scenarios,we combined heuristic algorithm,power distribution algo-rithm,and multi-UAV hover point distribution algorithm to formulate a reasonable communication trajectory optimization strategy on the premise of ensuring the quality of communication services,greatly reducing the completion time of UAV collabora-tive tasks,and improving the system capacity and flight safety of UAVs.