DRL-Based Secure Beamforming for Hybrid-RIS Aided Satellite Downlink Communications

Ngo, QT; Phan, KT; Mahmood, A; Xiang, W

DRL-Based Secure Beamforming for Hybrid-RIS Aided Satellite Downlink Communications

Ngo, QT Phan, KT Mahmood, A Xiang, W

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: Proceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022, 2022, 00, pp. 432-437
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Ngo, QT
dc.contributor.author	Phan, KT
dc.contributor.author	Mahmood, A
dc.contributor.author	Xiang, W
dc.date	2022-11-03
dc.date.accessioned	2023-04-13T04:06:14Z
dc.date.available	2023-04-13T04:06:14Z
dc.date.issued	2022-01-01
dc.identifier.citation	Proceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022, 2022, 00, pp. 432-437
dc.identifier.isbn	9781665460309
dc.identifier.uri	http://hdl.handle.net/10453/169767
dc.description.abstract	In this paper, a secure multiuser MISO satellite downlink communication system is considered with the assist of a hybrid reconfigurable intelligent surface (RIS). A robust satellite and RIS beamforming joint design is formulated to maximize the overall system secrecy rate. The RIS active and passive elements are optimized considering practical models of the outdated channel state information and power consumption. Deep reinforcement learning is leveraged to solve the highly dynamic and multidimensional beamforming design problem. Simulation results confirm the beamforming design effectiveness and the performance gains when exploiting hybrid-RIS over conventional passive RIS.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	Proceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
dc.relation.ispartof	2022 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
dc.relation.isbasedon	10.1109/COMNETSAT56033.2022.9994309
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	DRL-Based Secure Beamforming for Hybrid-RIS Aided Satellite Downlink Communications
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-13T04:06:13Z
pubs.finish-date	2022-11-05
pubs.publication-status	Published
pubs.start-date	2022-11-03
pubs.volume	00

Abstract:

In this paper, a secure multiuser MISO satellite downlink communication system is considered with the assist of a hybrid reconfigurable intelligent surface (RIS). A robust satellite and RIS beamforming joint design is formulated to maximize the overall system secrecy rate. The RIS active and passive elements are optimized considering practical models of the outdated channel state information and power consumption. Deep reinforcement learning is leveraged to solve the highly dynamic and multidimensional beamforming design problem. Simulation results confirm the beamforming design effectiveness and the performance gains when exploiting hybrid-RIS over conventional passive RIS.

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http://hdl.handle.net/10453/169767