计算机应用与软件2026，Vol.43Issue(9)：59-67,9.DOI:10.3969/j.issn.1000-386x.2026.09.009
基于无人机载有源IRS的SWIPT网络吞吐量优化
OPTIMIZATION OF THROUGHPUT IN SWIPT NETWORKS WITH UAV-CARRIED ACTIVE IRS
摘要
Abstract
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.关键词
智能反射表面/无线携能通信/交替优化/凸优化/吞吐量最大化Key words
Intelligent reflecting surface/Simultaneous wireless information and power transfer/Alternating optimi-zation/Convex optimization/Throughput maximization分类
信息技术与安全科学引用本文复制引用
薛亮,李子达,王春节..基于无人机载有源IRS的SWIPT网络吞吐量优化[J].计算机应用与软件,2026,43(9):59-67,9.基金项目
国家自然科学基金项目(62101174) （62101174）
河北省自然科学基金项目(F2021402009). （F2021402009）
