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Achievable Rate Maximization for Intelligent Reflecting Surface- Assisted Orbital Angular Momentum-Based Communication Systems

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  • Impact Factor:6.239

  • DOI number:10.1109/TVT.2021.3089021

  • Journal:IEEE Transactions on Vehicular Technology

  • Abstract: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,cuimiao

  • First Author:Li Yiqing

  • Correspondence Author:jmiao

  • Discipline:Engineering

  • First-Level Discipline:Information and Communication Engineering

  • Document Type:J

  • Volume:70

  • Issue:7

  • Page Number:7277–7282

  • ISSN No.:1939-9359

  • Translation or Not:no

  • Date of Publication:2021-07-01

  • Included Journals:SCI

  • Links to published journals:https://ieeexplore.ieee.org/document/9454339


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