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
樊自甫 1夏子航 1王正强 1万晓榆1
作者信息
- 1. 重庆邮电大学 通信与信息学院,重庆 400065
- 折叠
摘要
探讨了在硬件损伤条件下,如何通过搭载在无人机上的智能反射面(IRS)有效支持基于非正交多址接入(NOMA)技术的网络,以加快多用户数据的传输速率.提出了一种全面优化策略实现整个通信系统的最大传输速率,包括联合调整串行干扰消除的解码策略、IRS的反射配置、无人机的空间位置以及基站的发射功率.由于该问题是一个非凸问题,提出使用块坐标下降方法来实现优化的一种迭代算法,将原始的非凸问题细分为3个子问题,并通过结合惩罚函数法、半正定松弛技术和连续凸近似法来解决这些子问题.仿真结果表明:提出的算法在系统总速率方面相比随机部署无人机、未使用IRS辅助的NOMA策略,系统速率有显著提升.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据