Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications
Abstract This paper discusses an artificial noise‐aided intelligent reflecting surface‐MIMO–OFDM system physical layer secure communication, in which two cases for the intelligent reflecting surface reflection coefficient models are considered separately, that is unit modulus constraint for the refl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-08-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12409 |
| _version_ | 1828404926978457600 |
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| author | Jingya Ren Yanli Yuan Tiancong Huang Weiheng Jiang Wenjiang Feng |
| author_facet | Jingya Ren Yanli Yuan Tiancong Huang Weiheng Jiang Wenjiang Feng |
| author_sort | Jingya Ren |
| collection | DOAJ |
| description | Abstract This paper discusses an artificial noise‐aided intelligent reflecting surface‐MIMO–OFDM system physical layer secure communication, in which two cases for the intelligent reflecting surface reflection coefficient models are considered separately, that is unit modulus constraint for the reflection coefficients and the more practical situation of amplitude phase‐shift dependence. Then the problem of joint optimisation for the precoding matrix, artificial noise covariance matrix and intelligent reflecting surface reflection coefficient matrix to maximise the sum secrecy rate under the power constraint at the transmitter is formulated, and then an alternate optimisation‐based inexact block coordinate descent algorithm is proposed to tackle the formulated non‐convexity problem. For the problem with unit modulus constraint for the intelligent reflecting surface reflection coefficients, closed‐form solutions of the optimisation variables are obtained by utilising the Lagrange multiplier method and the complex circular manifold method. For the problem with intelligent reflecting surface reflection coefficient amplitude phase‐shift dependence, alternate optimisation‐based penalty method is used to obtain the intelligent reflecting surface optimal reflection matrix. Numerical results indicate that the algorithm for the intelligent reflecting surface reflection coefficient unit modulus constraint achieves the maximum secrecy rate, and the algorithm for the intelligent reflecting surface reflection coefficient of amplitude phase‐shift dependence has the sub‐optimal performance, and the benchmark schemes such as no intelligent reflecting surface and intelligent reflecting surface random phase shift strategies have the worst and similar performance. |
| first_indexed | 2024-12-10T10:44:26Z |
| format | Article |
| id | doaj.art-359e7fa53acf425e91720501045bfa37 |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-12-10T10:44:26Z |
| publishDate | 2022-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-359e7fa53acf425e91720501045bfa372022-12-22T01:52:12ZengWileyIET Communications1751-86281751-86362022-08-0116131570158110.1049/cmu2.12409Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communicationsJingya Ren0Yanli Yuan1Tiancong Huang2Weiheng Jiang3Wenjiang Feng4School of Microelectronics and Communication Engineering Chongqing University Chongqing ChinaInformation Systems Technology and Design Pillar Singapore University of Technology and Design Singapore SingaporeSchool of Microelectronics and Communication Engineering Chongqing University Chongqing ChinaSchool of Microelectronics and Communication Engineering Chongqing University Chongqing ChinaSchool of Microelectronics and Communication Engineering Chongqing University Chongqing ChinaAbstract This paper discusses an artificial noise‐aided intelligent reflecting surface‐MIMO–OFDM system physical layer secure communication, in which two cases for the intelligent reflecting surface reflection coefficient models are considered separately, that is unit modulus constraint for the reflection coefficients and the more practical situation of amplitude phase‐shift dependence. Then the problem of joint optimisation for the precoding matrix, artificial noise covariance matrix and intelligent reflecting surface reflection coefficient matrix to maximise the sum secrecy rate under the power constraint at the transmitter is formulated, and then an alternate optimisation‐based inexact block coordinate descent algorithm is proposed to tackle the formulated non‐convexity problem. For the problem with unit modulus constraint for the intelligent reflecting surface reflection coefficients, closed‐form solutions of the optimisation variables are obtained by utilising the Lagrange multiplier method and the complex circular manifold method. For the problem with intelligent reflecting surface reflection coefficient amplitude phase‐shift dependence, alternate optimisation‐based penalty method is used to obtain the intelligent reflecting surface optimal reflection matrix. Numerical results indicate that the algorithm for the intelligent reflecting surface reflection coefficient unit modulus constraint achieves the maximum secrecy rate, and the algorithm for the intelligent reflecting surface reflection coefficient of amplitude phase‐shift dependence has the sub‐optimal performance, and the benchmark schemes such as no intelligent reflecting surface and intelligent reflecting surface random phase shift strategies have the worst and similar performance.https://doi.org/10.1049/cmu2.12409AlgebraRadiowave propagationCodesRadio links and equipmentOptimisation techniques |
| spellingShingle | Jingya Ren Yanli Yuan Tiancong Huang Weiheng Jiang Wenjiang Feng Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications IET Communications Algebra Radiowave propagation Codes Radio links and equipment Optimisation techniques |
| title | Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications |
| title_full | Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications |
| title_fullStr | Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications |
| title_full_unstemmed | Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications |
| title_short | Optimal design for the artificial‐noise‐aided IRS‐MIMO‐OFDM secure communications |
| title_sort | optimal design for the artificial noise aided irs mimo ofdm secure communications |
| topic | Algebra Radiowave propagation Codes Radio links and equipment Optimisation techniques |
| url | https://doi.org/10.1049/cmu2.12409 |
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