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计算机学院 -
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School of Computer Science
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Paper Publications
Current position: Home > Scientific Research > Paper Publications
Achievable Rate Maximization for Intelligent Reflecting Surface- Assisted Orbital Angular Momentum-Based Communication Systems
- Release time:2022-09-01
- Hits:
Impact Factor:
6.239DOI number:
10.1109/TVT.2021.3089021Journal:
IEEE Transactions on Vehicular TechnologyAbstract:
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.Co-author:
zhangguangchi,cuimiaoFirst Author:
Li YiqingCorrespondence Author:
jmiaoDiscipline:
EngineeringFirst-Level Discipline:
Information and Communication EngineeringDocument Type:
JVolume:
70Issue:
7Page Number:
7277–7282ISSN No.:
1939-9359Translation or Not:
noDate of Publication:
2021-07-01Included Journals:
SCILinks to published journals:
https://ieeexplore.ieee.org/document/9454339