Unmanned Aerial Vehicle(UAV)equipped with Intelligent Reflecting Surface(IRS)can effectively solve the problem of inefficient information and energy transmission between the hybrid access point and nodes in complex wireless scenarios due to obstacle occlusion.A novel framework for aerial IRS-assisted wireless powered communication networks is proposed that exploits the flexibility of aerial IRS to improve the performance of the network.The architecture achieves the transmission of energy and data for each time slot employing the harvest-then-transmit scheme.A multi-variable coupled optimization problem that combines the flight trajectory,node selection association variable,time slot allocation ratio,and the phase is established while satisfying the node energy harvesting threshold.Thus,the block coordinate descent algorithm is utilized to decompose the optimization problem into four sub-problems to be solved separately.Firstly,the closed-form solution for the optimal phase of the intelligent reflecting surface is derived based on the beam alignment theory.Secondly,the non-convex problem is transformed into a convex problem by introducing auxiliary variables and employing a successive convex approximation algorithm.Finally,the solution is iteratively solved utilizing the block coordinate descent algorithm.Simulation results show that the proposed scheme has excellent convergence performance and significantly improve the average throughput.
关键词
无线供能通信网络/智能反射面/无人机/轨迹优化
Key words
Wireless Powered Communication Network(WPCN)/Intelligent Reflecting Surface(IRS)/Unmanned Aerial Vehicle(UAV)/Trajectory optimization
维普
万方数据