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姜淼

教师拼音名称:Jiang Miao
所在单位:信息工程学院
联系方式:jmiao@gdut.edu.cn
职称:副教授
所属院系:信息工程学院
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论文成果
Achievable Rate Maximization for Intelligent Reflecting Surface- Assisted Orbital Angular Momentum-Based Communication Systems
发布时间:2022-09-01    点击次数:

影响因子:6.239

DOI码:10.1109/TVT.2021.3089021

发表刊物:IEEE Transactions on Vehicular Technology

摘要:The orbital angular momentum (OAM)-based communication systems may face severe transmission problems when the transmit and receive uniform circular array pairs are blocked. In this paper, a promising technique named intelligent reflecting surface (IRS) is proposed to help alleviate blockages and provide alternative line-of-sight links. To maximize the achievable rate of the IRS-assisted OAM communication systems, we optimize its transmit power allocation along with the IRS's reflecting phase shifts, and propose an alternative optimization-based algorithm to solve the resulting optimization problem with coupled variables and non-convex structure. Specifically, the proposed algorithm obtains a closed-form solution to the transmit power allocation by applying the majorization-minimization and ℓ1 -ball projection approaches, and obtain the locally optimal solution to the IRS's reflecting phase shifts by applying the weighted minimum mean square error-based fixed point iteration approach. Simulation results demonstrate the superiority of our proposed algorithm over existing baseline algorithms and also show its robust stability to the oblique angle errors.

合写作者:张广驰,崔苗

第一作者:李亦卿

通讯作者:姜淼

学科门类:工学

一级学科:信息与通信工程

文献类型:J

卷号:70

期号:7

页面范围:7277–7282

ISSN号:1939-9359

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发表时间:2021-07-01

收录刊物:SCI

发布期刊链接:https://ieeexplore.ieee.org/document/9454339