IRS-UAV辅助WSN上行通信的状态优化OA

Because of the frequent obstruction of direct links between base stations and wireless sensor network(WSN)nodes,this paper proposes a state optimization algorithm for intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)operation.The UAV's flight position is optimized to maximize the frequency band utilization of the uplink.Due to the limited energy of UAV,this paper introduces the economic efficiency(ECE)as a performance evaluation indicator.Then,the relationship between economic efficiency and the transition probability of UAV modes from hovering to cruising is analyzed to achieve the goal of optimizing UVA working modes.A new working mode of UAV is proposed to avoid the poor signal transmission rate caused by complex environment.In comparison with the traditional working mode of UAV,the performance of its new working mode is significantly improved,which provides theoretical and practical support for signal recovery of WSNs.The simulations show that,in comparison with the traditional UAV optimization algorithms with only a single working state,the proposed algorithm has significant performance improvements in maximizing information bandwidth utilization and ECE.When the position or transition probability of UVA is not in the optimal state,the system bandwidth utilization and ECE are poor,while the opposite are better.