Secure satellite downlink with hybrid RIS and AI-based optimization
In this paper, we explore a secure multiuser multiple-input single-output (MISO) satellite downlink communication system, enhanced by the integration of a hybrid reconfigurable intelligent surface (RIS). The study formulates a robust joint design for satellite and RIS beamforming, aimed at maximizin...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
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Institute of Electrical and Electronics Engineers (IEEE)
2025
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| Online Access: | https://repository.londonmet.ac.uk/10000/1/Secure_Satellite_Downlink_with_Hybrid_RIS_and_AI-Based_Optimization.pdf https://repository.londonmet.ac.uk/10000/7/Secure_Satellite_Downlink_With_Hybrid_RIS_and_AI-Based_Optimization.pdf |
| _version_ | 1824446521794363392 |
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| author | Kamal, Mian Muhammad Abideen, Syed Zain Ul Shah, Syed Sikandar Sehito, Nabila Khan, Salahuddin Virdee, Bal Singh Alibakhshikenari, Mohammad Livreri, Patrizia |
| author_facet | Kamal, Mian Muhammad Abideen, Syed Zain Ul Shah, Syed Sikandar Sehito, Nabila Khan, Salahuddin Virdee, Bal Singh Alibakhshikenari, Mohammad Livreri, Patrizia |
| author_sort | Kamal, Mian Muhammad |
| collection | LMU |
| description | In this paper, we explore a secure multiuser multiple-input single-output (MISO) satellite downlink communication system, enhanced by the integration of a hybrid reconfigurable intelligent surface (RIS). The study formulates a robust joint design for satellite and RIS beamforming, aimed at maximizing the secrecy rate of the overall system. Both the active and passive elements of the RIS are optimized, taking into account practical models that reflect real-world constraints, such as outdated channel state information (CSI) and the power consumption of the system. To address the highly complex, dynamic, and multidimensional nature of the beamforming design problem, deep reinforcement learning (DRL) techniques are employed. Simulation results demonstrate the effectiveness of the proposed beamforming strategy, highlighting significant performance improvements when utilizing hybrid-RIS compared to traditional passive RIS solutions in wireless communication systems. |
| first_indexed | 2025-02-19T01:16:29Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:10000 |
| institution | London Metropolitan University |
| language | English English |
| last_indexed | 2025-02-19T01:16:29Z |
| publishDate | 2025 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:100002025-02-11T14:21:13Z https://repository.londonmet.ac.uk/10000/ Secure satellite downlink with hybrid RIS and AI-based optimization Kamal, Mian Muhammad Abideen, Syed Zain Ul Shah, Syed Sikandar Sehito, Nabila Khan, Salahuddin Virdee, Bal Singh Alibakhshikenari, Mohammad Livreri, Patrizia 000 Computer science, information & general works 620 Engineering & allied operations In this paper, we explore a secure multiuser multiple-input single-output (MISO) satellite downlink communication system, enhanced by the integration of a hybrid reconfigurable intelligent surface (RIS). The study formulates a robust joint design for satellite and RIS beamforming, aimed at maximizing the secrecy rate of the overall system. Both the active and passive elements of the RIS are optimized, taking into account practical models that reflect real-world constraints, such as outdated channel state information (CSI) and the power consumption of the system. To address the highly complex, dynamic, and multidimensional nature of the beamforming design problem, deep reinforcement learning (DRL) techniques are employed. Simulation results demonstrate the effectiveness of the proposed beamforming strategy, highlighting significant performance improvements when utilizing hybrid-RIS compared to traditional passive RIS solutions in wireless communication systems. Institute of Electrical and Electronics Engineers (IEEE) 2025-01-17 Article PeerReviewed text en cc_by_4 https://repository.londonmet.ac.uk/10000/1/Secure_Satellite_Downlink_with_Hybrid_RIS_and_AI-Based_Optimization.pdf text en cc_by_4 https://repository.londonmet.ac.uk/10000/7/Secure_Satellite_Downlink_With_Hybrid_RIS_and_AI-Based_Optimization.pdf Kamal, Mian Muhammad, Abideen, Syed Zain Ul, Shah, Syed Sikandar, Sehito, Nabila, Khan, Salahuddin, Virdee, Bal Singh, Alibakhshikenari, Mohammad and Livreri, Patrizia (2025) Secure satellite downlink with hybrid RIS and AI-based optimization. IEEE Access, 13. pp. 3726-3737. ISSN 2169-3536 https://doi.org/10.1109/access.2024.3520796 10.1109/access.2024.3520796 10.1109/access.2024.3520796 |
| spellingShingle | 000 Computer science, information & general works 620 Engineering & allied operations Kamal, Mian Muhammad Abideen, Syed Zain Ul Shah, Syed Sikandar Sehito, Nabila Khan, Salahuddin Virdee, Bal Singh Alibakhshikenari, Mohammad Livreri, Patrizia Secure satellite downlink with hybrid RIS and AI-based optimization |
| title | Secure satellite downlink with hybrid RIS and AI-based optimization |
| title_full | Secure satellite downlink with hybrid RIS and AI-based optimization |
| title_fullStr | Secure satellite downlink with hybrid RIS and AI-based optimization |
| title_full_unstemmed | Secure satellite downlink with hybrid RIS and AI-based optimization |
| title_short | Secure satellite downlink with hybrid RIS and AI-based optimization |
| title_sort | secure satellite downlink with hybrid ris and ai based optimization |
| topic | 000 Computer science, information & general works 620 Engineering & allied operations |
| url | https://repository.londonmet.ac.uk/10000/1/Secure_Satellite_Downlink_with_Hybrid_RIS_and_AI-Based_Optimization.pdf https://repository.londonmet.ac.uk/10000/7/Secure_Satellite_Downlink_With_Hybrid_RIS_and_AI-Based_Optimization.pdf |
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