【摘要】 为了应对特殊的通信环境，本文提出了一种基于智能反射面(IRS)辅助无人机(UAV)的无线供电非正交多址(NOMA)网络的联合轨迹和资源分配优化方案。该系统由基站、多个用户和一个IRS-UAV组成，并且将IRS部署在UAV上以增强基站和用户之间的通信，特别是在有障碍物阻挡直接链路时。方案分为下行无线能量传输(WET)和上行无线信息传输(WIT)两个阶段。本文目标是通过联合优化IRS相移矩阵、传输时间分配和UAV轨迹来最大化所有用户的总和率。由于变量之间的耦合和约束，本文提出了一种交替优化算法来解决这个问题。数值分析结果证明了所提出算法在提高系统总和率方面的有效性，并且NOMA相比正交多址(OMA)在提高系统性能方面也更有优势。更多还原

【Abstract】 In order to cope with the special communication environment, we propose a joint trajectory and resource allocation optimization scheme for wireless powered Non-Orthogonal Multiple Access(NOMA) networks based on Intelligent Reflector Surface(IRS) assisted Unmanned Aerial Vehicles(UAVS). The system consists of a base station, multiple users, and an IRS-UAV. IRS is deployed on UAVs to enhance communication between base stations and users, especially when there are obstructions blocking the direct link. The operation is divided into two phases: downlink Wireless Power Transfer(WET) and Uplink Wireless Information Transfer(WIT). The goal is to maximize the summation rate for all users by jointly optimizing the IRS phase shift matrix, transmission time allocation, and UAV trajectory. Due to the coupling and constraints between variables, an alternate optimization algorithm is proposed to solve this problem. Numerical results show that the proposed algorithm is effective in improving the system summation rate, and NOMA has more advantages in improving the system performance than OMA.更多还原