基于无人机载有源IRS的SWIPT网络吞吐量优化OA

Addressing issues such as blocked transmission paths and insufficient power supply in communication devices,this paper introduces a novel framework for an unmanned aerial vehicle(UAV)-assisted wireless power transfer and information transmission(SWIPT)network equipped with an active intelligent reflecting surface(IRS).A joint optimization model of IRS phase shifts,user association,and time allocation that considered IRS phase shift constraints,matching constraints,and energy and information transmission time constraints was established to maximize the throughput of the system.To deal with the non-convex nature of the problem,an efficient iterative algorithm leveraging techniques like alternating optimization,triangle inequality transformation,backtracking pruning,and successive convex approximation was proposed.Simulation results demonstrate the proposed algorithm's superior convergence properties,and empirical evidence underlines the effectiveness and practicality of the proposed method.