计算机科学
凸性
继电器
无线
调度(生产过程)
轨迹优化
数学优化
弹道
传输(电信)
无人机
接头(建筑物)
实时计算
最优化问题
迭代法
算法
最优控制
电信
数学
工程类
海洋工程
物理
建筑工程
功率(物理)
经济
金融经济学
量子力学
天文
作者
Xiaokai Song,Yanlong Zhao,Zhilu Wu,Zhutian Yang,Jie Tang
出处
期刊:IEEE Wireless Communications Letters
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:11 (7): 1538-1542
被引量:7
标识
DOI:10.1109/lwc.2022.3179028
摘要
Intelligent reflecting surface (IRS) is a promising technology for future communication systems because of its ability to intelligently configure the wireless environment. In this letter, an IRS is equipped on an unmanned aerial vehicle (UAV) as a passive relay system, in which the UAV serves as a flexible airborne platform. Our aim is to maximize the minimum average transmission rate by jointly optimizing the communication scheduling, phase shift of the IRS, and trajectory of the UAV. The coupling of the optimization variables and non-convexity make this problem hard to solve directly. Therefore, we divide the problem into three subproblems and apply the successive convex approximation (SCA) technique to solve this problem iteratively. Numerical results demonstrate that the minimum transmission rate can be greatly improved by adopting the proposed iterative algorithm, and also confirm the effectiveness of the algorithm.
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