Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications
Reconfigurable intelligent surfaces (RISs) represent a highly promising technology that enhances the capacity and coverage of wireless networks by intelligently reconfiguring the wireless propagation environment in highly advanced wireless communications. The objective of this study is to solve the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522000728 |
| _version_ | 1828149270412263424 |
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| author | Sangmi Moon Young-Hwan You Cheol Hong Kim Intae Hwang |
| author_facet | Sangmi Moon Young-Hwan You Cheol Hong Kim Intae Hwang |
| author_sort | Sangmi Moon |
| collection | DOAJ |
| description | Reconfigurable intelligent surfaces (RISs) represent a highly promising technology that enhances the capacity and coverage of wireless networks by intelligently reconfiguring the wireless propagation environment in highly advanced wireless communications. The objective of this study is to solve the problem of secrecy rate maximization for multiple RIS-aided millimeter-wave communications by jointly optimizing the active RISs and the RIS phase shifts of the considered system. For this nonconvex problem, we propose multitask learning in a deep neural network to predict the RIS phase shift and active RISs. Numerical results based on realistic, three-dimensional, ray-tracing simulations show that the proposed solution can predict the RIS phase and active RIS with an accuracy rate > 96%. These results confirm the viability of RIS-aided secure wireless communications. |
| first_indexed | 2024-04-11T21:27:07Z |
| format | Article |
| id | doaj.art-cb90a7877b6d431ab01c9b3b7b5a9cdd |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-04-11T21:27:07Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-cb90a7877b6d431ab01c9b3b7b5a9cdd2022-12-22T04:02:21ZengElsevierICT Express2405-95952022-09-0183334339Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communicationsSangmi Moon0Young-Hwan You1Cheol Hong Kim2Intae Hwang3Department of IT Artificial Intelligence, Korea Nazarene University, Cheonan, South KoreaDepartment of Computer Engineering, Sejong University, Seoul, South KoreaSchool of Computer Science and Engineering, Soongsil University, Seoul, South KoreaDepartment of Electronic Engineering & ICT Convergence System Engineering, Chonnam National University, Gwangju, South Korea; Corresponding author.Reconfigurable intelligent surfaces (RISs) represent a highly promising technology that enhances the capacity and coverage of wireless networks by intelligently reconfiguring the wireless propagation environment in highly advanced wireless communications. The objective of this study is to solve the problem of secrecy rate maximization for multiple RIS-aided millimeter-wave communications by jointly optimizing the active RISs and the RIS phase shifts of the considered system. For this nonconvex problem, we propose multitask learning in a deep neural network to predict the RIS phase shift and active RISs. Numerical results based on realistic, three-dimensional, ray-tracing simulations show that the proposed solution can predict the RIS phase and active RIS with an accuracy rate > 96%. These results confirm the viability of RIS-aided secure wireless communications.http://www.sciencedirect.com/science/article/pii/S2405959522000728Deep neural networkMultitask learningReconfigurable intelligent surfaceSecrecy rate |
| spellingShingle | Sangmi Moon Young-Hwan You Cheol Hong Kim Intae Hwang Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications ICT Express Deep neural network Multitask learning Reconfigurable intelligent surface Secrecy rate |
| title | Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications |
| title_full | Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications |
| title_fullStr | Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications |
| title_full_unstemmed | Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications |
| title_short | Multitask learning-based secure transmission for reconfigurable intelligent surface-aided wireless communications |
| title_sort | multitask learning based secure transmission for reconfigurable intelligent surface aided wireless communications |
| topic | Deep neural network Multitask learning Reconfigurable intelligent surface Secrecy rate |
| url | http://www.sciencedirect.com/science/article/pii/S2405959522000728 |
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