重庆理工大学学报2024，Vol.38Issue(5)：275-285,11.DOI:10.3969/j.issn.1674-8425(z).2024.03.030
硬件损伤条件下无人机辅助的NOMA-IRS网络资源分配算法
Resource allocation algorithm for UAV assisted NOMA-IRS network under hardware impairments
摘要
Abstract
This paper investigates how to effectively support networks based on Non-Orthogonal Multiple Access ( NOMA ) technology with Intelligent Reflecting Surface ( IRS ) mounted on Unmanned Aerial Vehicle ( UAV ) , particularly in environments with hardware impairment, to accelerate the data transmission rate for multiple users. It introduces a holistic optimization approach, which encompasses simultaneous fine-tuning of various elements: the decoding order successive interference cancellation, the reflective settings of the IRS, the UAV geographical placement, and the power of the base station. The primary objective of these coordinated adjustments is to optimize the total transmit rate of the entire communication network. As the problem is essentially a non-convex one, this study introduces an iterative algorithm using the block coordinate descent method for optimization. The method partitions the initial non-convex problem into three distinct sub-problems. These are subsequently tackled through an integrated approach that incorporates a penalization method, semi-definite relaxation, and techniques of successive convex approximation. Our simulation results reveal the proposed algorithm enhances the sum rate of the systems compared with the NOMA scheme of random position deployment without the assistant of IRS.关键词
非正交多址接入/智能反射面/凸优化/和速率最大化/无人机Key words
NOMA/IRS/convex optimization/sum-rate maximization/UAV分类
信息技术与安全科学引用本文复制引用
樊自甫,夏子航,王正强,万晓榆..硬件损伤条件下无人机辅助的NOMA-IRS网络资源分配算法[J].重庆理工大学学报,2024,38(5):275-285,11.基金项目
国家自然科学基金项目(61701064) （61701064）
