Integrated beamforming and trajectory optimization algorithm for RIS-assisted UAV system
Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have garnered considerable research interest in the fields of 5G and 6G wireless communication due to their remarkable flexibility and cost-effectiveness. However, the inherent openness of wireless communication environme...
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Elsevier B.V
01.10.2024
한국통신학회 |
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| Abstract | Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have garnered considerable research interest in the fields of 5G and 6G wireless communication due to their remarkable flexibility and cost-effectiveness. However, the inherent openness of wireless communication environments renders these technologies vulnerable to eavesdropping. This paper presents a penalty-based successive convex approximation algorithm and a minorize–maximization algorithm to optimize the transmission beamforming vector, RIS beamforming vector, and UAV–RIS trajectory. The objective of this study was to enhance the physical layer security performance of wireless communication systems using UAVs and RISs. Our simulation results demonstrate that the proposed technique achieves a higher security transmission rate compared to existing techniques. |
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| AbstractList | Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have garnered considerable research interest in the fields of 5G and 6G wireless communication due to their remarkable flexibility and cost-effectiveness. However, the inherent openness of wireless communication environments renders these technologies vulnerable to eavesdropping. This paper presents a penalty-based successive convex approximation algorithm and a minorize–maximization algorithm to optimize the transmission beamforming vector, RIS beamforming vector, and UAV–RIS trajectory. The objective of this study was to enhance the physical layer security performance of wireless communication systems using UAVs and RISs. Our simulation results demonstrate that the proposed technique achieves a higher security transmission rate compared to existing techniques. KCI Citation Count: 0 Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have garnered considerable research interest in the fields of 5G and 6G wireless communication due to their remarkable flexibility and cost-effectiveness. However, the inherent openness of wireless communication environments renders these technologies vulnerable to eavesdropping. This paper presents a penalty-based successive convex approximation algorithm and a minorize–maximization algorithm to optimize the transmission beamforming vector, RIS beamforming vector, and UAV–RIS trajectory. The objective of this study was to enhance the physical layer security performance of wireless communication systems using UAVs and RISs. Our simulation results demonstrate that the proposed technique achieves a higher security transmission rate compared to existing techniques. |
| Author | Sin, Seungseok Moon, Sangmi Ma, Jina You, Young-Hwan Hwang, Intae Sim, Yuna Kim, Cheol Hong |
| Author_xml | – sequence: 1 givenname: Seungseok surname: Sin fullname: Sin, Seungseok email: ssskit7@naver.com organization: Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea – sequence: 2 givenname: Yuna surname: Sim fullname: Sim, Yuna email: sya8325@naver.com organization: Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea – sequence: 3 givenname: Jina surname: Ma fullname: Ma, Jina email: jama@kari.re.kr organization: Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea – sequence: 4 givenname: Sangmi surname: Moon fullname: Moon, Sangmi email: moonsm@kornu.ac.kr organization: Department of IT Artificial Intelligence, Korea Nazarene University, Cheonan, South Korea – sequence: 5 givenname: Young-Hwan surname: You fullname: You, Young-Hwan email: yhyou@sejong.ac.kr organization: Department of Computer Engineering, Sejong University, Seoul, South Korea – sequence: 6 givenname: Cheol Hong orcidid: 0000-0003-1837-6631 surname: Kim fullname: Kim, Cheol Hong email: cheolhong@ssu.ac.kr organization: School of Computer Science and Engineering, Soongsil University, Seoul, South Korea – sequence: 7 givenname: Intae orcidid: 0000-0001-7066-3326 surname: Hwang fullname: Hwang, Intae email: hit@jnu.ac.kr organization: School of Electronics and Computer Engineering and Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea |
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| Cites_doi | 10.1109/TSP.2009.2031732 10.1109/TVT.2020.3033060 10.1109/LCOMM.2020.3028135 10.1109/TVT.2021.3079930 10.23919/JCN.2022.000015 10.1016/j.icte.2022.07.002 10.1109/LWC.2020.3000490 10.1016/j.icte.2022.05.003 10.1109/ACCESS.2019.2898995 10.1109/TSP.2012.2189857 |
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| Keywords | Reconfigurable intelligent surfaces Minorize–maximization Unmanned aerial vehicle Security Successive convex approximation |
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| References | Cao, Thompson, Poor (b12) 2017 Shahjalal, Jang (b1) 2023; 9 Xiu, Zhao, Yuen, Zhang, Gui (b14) 2021; 25 Hong (b4) 2022; 24 Yuan, Hu, Wang, Li (b9) 2019; 7 Xiu, Zhao, Yuen, Zhang, Gui (b11) 2021; 25 Phan, Tuan, Kha, Ngo (b16) 2012; 60 Zhou (b7) 2020; 9 Tang (b8) 2021; 70 Ahmed, Bash (b10) 2019 Sim, Sin, Ma, Kim, Moon, Hwang (b15) 2023; 60 Zhou, Song, Zhang (b6) 2013 Huang, Palomar (b13) 2010; 58 Alladi, Bansal, Chamola, Guizani (b3) 2020; 69 Moon, Kim, You, Kim, Hwang (b2) 2021; 15 Moon (b5) 2022; 8 Cao (10.1016/j.icte.2024.04.008_b12) 2017 Shahjalal (10.1016/j.icte.2024.04.008_b1) 2023; 9 Tang (10.1016/j.icte.2024.04.008_b8) 2021; 70 Alladi (10.1016/j.icte.2024.04.008_b3) 2020; 69 Sim (10.1016/j.icte.2024.04.008_b15) 2023; 60 Hong (10.1016/j.icte.2024.04.008_b4) 2022; 24 Phan (10.1016/j.icte.2024.04.008_b16) 2012; 60 Yuan (10.1016/j.icte.2024.04.008_b9) 2019; 7 Zhou (10.1016/j.icte.2024.04.008_b6) 2013 Xiu (10.1016/j.icte.2024.04.008_b14) 2021; 25 Moon (10.1016/j.icte.2024.04.008_b2) 2021; 15 Ahmed (10.1016/j.icte.2024.04.008_b10) 2019 Xiu (10.1016/j.icte.2024.04.008_b11) 2021; 25 Huang (10.1016/j.icte.2024.04.008_b13) 2010; 58 Moon (10.1016/j.icte.2024.04.008_b5) 2022; 8 Zhou (10.1016/j.icte.2024.04.008_b7) 2020; 9 |
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| SubjectTerms | Minorize–maximization Reconfigurable intelligent surfaces Security Successive convex approximation Unmanned aerial vehicle 전자/정보통신공학 |
| Title | Integrated beamforming and trajectory optimization algorithm for RIS-assisted UAV system |
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