Wang, C;
Wang, CC;
Li, Z;
Kwan Ng, DW;
Wong, KK;
(2023)
PHY Security Enhancement Exploiting STAR-RIS for Dual-Functional Radar-Communication.
In:
2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023.
(pp. pp. 562-567).
IEEE: Rome, Italy.
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Abstract
Considering a simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS)-aided dual-functional radar-communications (DFRC) system, this paper proposes a symbol-level precoding-based scheme for enhancing the physical layer (PHY) security of the confidential information transmission and performing target sensing simultaneously. Specifically, the STAR-RIS-aided DFRC system design objective is to maximize the average received radar sensing power subject to the quality-of-service constraints for multiple communication users, the security constraint for multiple potential eavesdroppers, as well as various practical waveform design restrictions. However, the formulated problem is challenging to handle due to its nonconvexity. To address these issues, we propose a distance-majorization induced low-complexity algorithm to obtain an efficient solution. Simulation results confirm the effectiveness of the STAR-RIS in improving the DFRC performance.
| Type: | Proceedings paper |
|---|---|
| Title: | PHY Security Enhancement Exploiting STAR-RIS for Dual-Functional Radar-Communication |
| Event: | 2023 IEEE International Conference on Communications Workshops (ICC Workshops) |
| Dates: | 28 May 2023 - 1 Jun 2023 |
| ISBN-13: | 9798350333077 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICCWorkshops57953.2023.10283800 |
| Publisher version: | http://dx.doi.org/10.1109/iccworkshops57953.2023.1... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Simulation, Conferences, Radar, Transforms, Quality of service, Reflection , Sensors |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10183741 |
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