Active Aerial Reconfigurable Intelligent Surface Assisted Secure Communications: Integrating Sensing and Positioning

This paper proposes an active aerial reconfigurable intelligent surface (ARIS) assisted secure communication framework by integrating sensing and positioning against a mobile eavesdropper. In the proposed scheme, the base station (BS) beamforms the private information to the legitimate user and jams...

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Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 42; H. 10; S. 2769 - 2785
Hauptverfasser:	Wang, Dawei, Wang, Zijun, Yu, Keping, Wei, Zhiqiang, Zhao, Hongbo, Al-Dhahir, Naofal, Guizani, Mohsen, Leung, Victor C. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aerial reconfigurable intelligent surface Algorithms Array signal processing Autonomous aerial vehicles Beamforming Design optimization Eavesdropping information security Oral communication Privacy Radio equipment Reconfigurable intelligent surfaces sensing and positioning Sensors Surveillance Wireless networks
ISSN:	0733-8716, 1558-0008
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Abstract	This paper proposes an active aerial reconfigurable intelligent surface (ARIS) assisted secure communication framework by integrating sensing and positioning against a mobile eavesdropper. In the proposed scheme, the base station (BS) beamforms the private information to the legitimate user and jams the eavesdropper with artificial noise (AN), while reconfiguring the phases and amplitudes of the passive signal by the active ARIS for promoting secure communications. To acquire the channel state information of the time-vary wiretap channel, the BS tracks the position of the eavesdropper by exploiting the reflected AN. Based on the tracked position of the eavesdropper in the previous time slot, we propose a secure communication scheme that aims to maximize the secrecy rate in the current time slot. This scheme is assisted by the ARIS through jointly optimizing the passive beamforming of the privacy information and AN, the reflection matrix of the ARIS, and the position of the ARIS. In the case of this non-convex quandary with highly coupled variables, we opt to disassemble it into three constituent subproblems and design an alternating optimization framework, where the optimal power beamforming at the BS is derived using a successive convex approximation method and semi-positive definite relaxation technique, the reconfigurable coefficient of the ARIS is optimized using the majorization-minimization algorithm, and the optimal position of the ARIS using the three-dimensional network is obtained by the deep deterministic policy gradient algorithm. Simulation results demonstrate the superior performance of the proposed scheme in the context of the secrecy rate when compared with benchmark schemes. By adopting the active beamforming and positioning technique, the secrecy rate can be increased by 38.3% and 10.8%, respectively.
AbstractList	This paper proposes an active aerial reconfigurable intelligent surface (ARIS) assisted secure communication framework by integrating sensing and positioning against a mobile eavesdropper. In the proposed scheme, the base station (BS) beamforms the private information to the legitimate user and jams the eavesdropper with artificial noise (AN), while reconfiguring the phases and amplitudes of the passive signal by the active ARIS for promoting secure communications. To acquire the channel state information of the time-vary wiretap channel, the BS tracks the position of the eavesdropper by exploiting the reflected AN. Based on the tracked position of the eavesdropper in the previous time slot, we propose a secure communication scheme that aims to maximize the secrecy rate in the current time slot. This scheme is assisted by the ARIS through jointly optimizing the passive beamforming of the privacy information and AN, the reflection matrix of the ARIS, and the position of the ARIS. In the case of this non-convex quandary with highly coupled variables, we opt to disassemble it into three constituent subproblems and design an alternating optimization framework, where the optimal power beamforming at the BS is derived using a successive convex approximation method and semi-positive definite relaxation technique, the reconfigurable coefficient of the ARIS is optimized using the majorization-minimization algorithm, and the optimal position of the ARIS using the three-dimensional network is obtained by the deep deterministic policy gradient algorithm. Simulation results demonstrate the superior performance of the proposed scheme in the context of the secrecy rate when compared with benchmark schemes. By adopting the active beamforming and positioning technique, the secrecy rate can be increased by 38.3% and 10.8%, respectively.
Author	Wang, Dawei Leung, Victor C. M. Guizani, Mohsen Yu, Keping Wei, Zhiqiang Zhao, Hongbo Wang, Zijun Al-Dhahir, Naofal
Author_xml	– sequence: 1 givenname: Dawei orcidid: 0000-0001-9981-3623 surname: Wang fullname: Wang, Dawei email: wangdw@nwpu.edu.cn organization: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China – sequence: 2 givenname: Zijun surname: Wang fullname: Wang, Zijun email: wwwzj@mail.nwpu.edu.cn organization: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China – sequence: 3 givenname: Keping orcidid: 0000-0001-5735-2507 surname: Yu fullname: Yu, Keping email: keping.yu@ieee.org organization: Graduate School of Science and Engineering, Hosei University, Tokyo, Japan – sequence: 4 givenname: Zhiqiang orcidid: 0000-0003-3400-5590 surname: Wei fullname: Wei, Zhiqiang email: zhiqiang.wei@xjtu.edu.cn organization: School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China – sequence: 5 givenname: Hongbo orcidid: 0000-0002-1196-4089 surname: Zhao fullname: Zhao, Hongbo email: bhzhb@buaa.edu.cn organization: School of Electronic and Information Engineering, Beihang University, Beijing, China – sequence: 6 givenname: Naofal orcidid: 0000-0001-9894-8382 surname: Al-Dhahir fullname: Al-Dhahir, Naofal email: aldhahir@utdallas.edu organization: Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USA – sequence: 7 givenname: Mohsen orcidid: 0000-0002-8972-8094 surname: Guizani fullname: Guizani, Mohsen email: mguizani@ieee.org organization: Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAl), Abu Dhabi, United Arab Emirates – sequence: 8 givenname: Victor C. M. orcidid: 0000-0003-3529-2640 surname: Leung fullname: Leung, Victor C. M. email: vleung@ieee.org organization: Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen, China
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SubjectTerms	Aerial reconfigurable intelligent surface Algorithms Array signal processing Autonomous aerial vehicles Beamforming Design optimization Eavesdropping information security Oral communication Privacy Radio equipment Reconfigurable intelligent surfaces sensing and positioning Sensors Surveillance Wireless networks
Title	Active Aerial Reconfigurable Intelligent Surface Assisted Secure Communications: Integrating Sensing and Positioning
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