Research on Secure and Covert Transmission for UAV-Assisted Visible Light Communication Systems

WU Mengru; LIN Jiale; LU Weidang; LI Bo; GUO Lei

doi:10.11999/JEIT260239

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2026 >

WU Mengru, LIN Jiale, LU Weidang, LI Bo, GUO Lei. Research on Secure and Covert Transmission for UAV-Assisted Visible Light Communication Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260239

Citation:

WU Mengru, LIN Jiale, LU Weidang, LI Bo, GUO Lei. Research on Secure and Covert Transmission for UAV-Assisted Visible Light Communication Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260239

Citation:

PDF( 1780 KB)

Research on Secure and Covert Transmission for UAV-Assisted Visible Light Communication Systems

doi: 10.11999/JEIT260239 cstr: 32379.14.JEIT260239

WU Mengru¹,
LIN Jiale¹,
LU Weidang^{1
,
,},
LI Bo²,
GUO Lei³

1.
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
2.
School of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, China
3.
School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China

Funds: The National Natural Science Foundation of China (No.62301490, No.62271447), The Natural Science Foundation of Zhejiang Province (No.LR25F010003, No.LQ24F010013)

Accepted Date: 2026-04-23
Rev Recd Date: 2026-04-23

Available Online: 2026-05-23

Abstract

Abstract

Objective Owing to mobility and on-demand coverage capabilities, unmanned aerial vehicles (UAVs) can serve as aerial base stations to enable visible light communication (VLC). However, air-ground communication links are exposed to open environments, making VLC vulnerable to data eavesdropping and malicious detection. To address this issue, this paper proposes a secure and covert transmission strategy for a UAV-assisted VLC system from the perspectives of physical layer security and covert communication. The proposed strategy jointly optimizes the transmit power and hovering altitude of a UAV to maximize the system’s secrecy capacity, subject to the requirements of covert communication and illumination targets, as well as the operational constraints on UAV transmit power and hovering altitude. Methods This paper investigates secure and covert communication for UAV-assisted VLC. First, a UAV-assisted VLC system model is proposed, in which a mobile UAV equipped with light-emitting diodes is employed to establish a VLC link with a ground user in the presence of an eavesdropper and a warden. Subsequently, an optimization problem is formulated to maximize the secrecy capacity of the system by jointly optimizing the transmit power and hovering altitude of the UAV. To solve the formulated problem, we propose a two-layer optimization (TLOP) algorithm to decompose the transformed problem into two subproblems, including an inner-layer subproblem for transmit power optimization and an outer-layer subproblem for the design of UAV hovering altitude. On this basis, a closed-form expression for the optimal transmit power is derived for the inner-layer problem, while a particle swarm optimization (PSO) algorithm is developed to solve the outer-layer problem. Results and Discussions In the simulations, the proposed optimization scheme is compared with two baselines. First, the convergence of the proposed TLOP algorithm is verified (Fig. 3). The results demonstrate that the algorithm achieves rapid convergence within a limited number of iterations. Second, the optimal hovering altitude of the UAV with respect to the UAV’s horizontal coordinates under spatial distribution is illustrated (Fig. 4). The results indicate that as the UAV gradually approaches the ground legitimate user, its optimal hovering altitude exhibits a downward trend. Then, the secrecy capacity with respect to the UAV’s horizontal coordinates is presented (Fig. 5). It can be clearly observed that the secrecy capacity shows an upward trend as the UAV approaches the ground legitimate user. This is because as the UAV gets closer to the user, the constraints imposed by secure and covert communication are gradually relaxed. Furthermore, as $ \epsilon $ increases, the secrecy capacity of all schemes exhibits an increasing trend (Fig. 6). This is because the relaxation of covertness requirements enables the UAV to flexibly adjust its hovering altitude and transmit power to increase the secrecy capacity of the system. In addition, the secrecy capacity shows a declining trend as the number of symbols increases (Fig. 7). The reason can be attributed to the fact that the increase in the number of symbols provides the warden with more signal samples available for detection. Finally, the secrecy capacity of all schemes decreases as the uncertainty region radius of malicious users increases (Fig. 8). This trend is explained by the increased uncertainty requires the UAV to address potential threats over a wider area, which forces the UAV to adopt a more conservative strategy. In conclusion, simulation results confirm that the proposed scheme can improve the secrecy capacity of the UAV-assisted VLC system. Conclusions This paper investigates secure and covert communication in a UAV-assisted VLC system. Our goal is to maximize the secrecy capacity of the system by jointly optimizing the transmit power and hovering altitude of a UAV. Given that the formulated problem is a highly non-convex problem, a TLOP algorithm based on PSO is designed to solve it. Simulation results demonstrate that the proposed algorithm achieves fast convergence and improves the system’s secrecy performance compared to baselines.
- Unmanned Aerial Vehicle (UAV),
- Visible Light Communication (VLC),
- Physical Layer Security,
- Covert Communication.

FullText(HTML)

References(27)

References

[1]	王金元, 于印长, 林生红, 等. 人工噪声辅助的MISO可见光通信安全波束成形策略[J]. 通信学报, 2025, 46(12): 93–103. doi: 10.11959/j.issn.1000-436x.2025224. WANG Jinyuan, YU Yinchang, LIN Shenghong, et al. Secure beamforming schemes in artificial noise-based MISO visible light communications[J]. Journal on Communications, 2025, 46(12): 93–103. doi: 10.11959/j.issn.1000-436x.2025224.
[2]	MATHEUS L E M, VIEIRA A B, VIEIRA L F M, et al. Visible light communication: Concepts, applications and challenges[J]. IEEE Communications Surveys & Tutorials, 2019, 21(4): 3204–3237. doi: 10.1109/COMST.2019.2913348.
[3]	WANG Jinyuan, LIU Cheng, WANG Junbo, et al. Physical-layer security for indoor visible light communications: Secrecy capacity analysis[J]. IEEE Transactions on Communications, 2018, 66(12): 6423–6436. doi: 10.1109/TCOMM.2018.2859943.
[4]	ARFAOUI M A, SOLTANI M D, TAVAKKOLNIA I, et al. Physical layer security for visible light communication systems: A survey[J]. IEEE Communications Surveys & Tutorials, 2020, 22(3): 1887–1908. doi: 10.1109/COMST.2020.2988615.
[5]	WU Mengru, WU Haonan, LU Weidang, et al. Security-aware designs of multi-UAV deployment, task offloading and service placement in edge computing networks[J]. IEEE Transactions on Mobile Computing, 2025, 24(10): 11046–11060. doi: 10.1109/TMC.2025.3574061.
[6]	ZHU Manjing, WANG Yuhao, LIU Xiaodong, et al. Physical layer security performance analysis for relay-aided visible light communication system[J]. IEEE Photonics Journal, 2023, 15(3): 7302009. doi: 10.1109/JPHOT.2023.3263122.
[7]	HU Qingqing, HUANG Nuo, and GONG Chen. Superposition modulation for physical layer security in water-to-air visible light communication systems[J]. Journal of Lightwave Technology, 2023, 41(10): 2976–2990. doi: 10.1109/JLT.2023.3240180.
[8]	LIU Zehao, YANG Fang, SUN Shiyuan, et al. Physical layer security in NOMA-based VLC systems with optical intelligent reflecting surface: A Max-Min secrecy data rate perspective[J]. IEEE Internet of Things Journal, 2025, 12(6): 7180–7194. doi: 10.1109/JIOT.2024.3493858.
[9]	吴梦如, 仲南艳, 胡嘉阳, 等. 面向空地协同网络的无线安全通信技术研究与展望[J]. 移动通信, 2026, 50(1): 139–145. doi: 10.3969/j.issn.1006-1010.20251016-0002. WU Mengru, ZHONG Manyan, HU Jiayang, et al. Research and prospects on wireless secure communication technologies for air-ground collaborative networks[J]. Mobile Communications, 2026, 50(1): 139–145. doi: 10.3969/j.issn.1006-1010.20251016-0002.
[10]	WANG Jinyuan, SU Daopeng, FENG Pan, et al. Optimal height of UAV in covert visible light communications[J]. IEEE Communications Letters, 2023, 27(10): 2682–2686. doi: 10.1109/LCOMM.2023.3304651.
[11]	SU Daopeng, LU Dingshan, YU Yinchang, et al. Joint optimization of UAV’s height and peak optical intensity in weather-dependent covert VLC[J]. IEEE Signal Processing Letters, 2024, 31: 2315–2319. doi: 10.1109/LSP.2024.3451969.
[12]	QIAN Lei, WU Fangqian, WANG Di, et al. Optical RIS-aided covert visible light communications[J]. IEEE Transactions on Vehicular Technology, 2025, 74(7): 11518–11523. doi: 10.1109/TVT.2025.3545851.
[13]	LIU Zehao, YANG Fang, SONG Jian, et al. Optical intelligent reflecting surface-assisted visible light covert communication with NOMA: An effective covert spectral efficiency perspective[J]. IEEE Transactions on Wireless Communications, 2026, 25: 11303–11318. doi: 10.1109/TWC.2026.3658113.
[14]	LIU Jiaji, YANG Fang, LIU Zehao, et al. RSMA-based visible light covert communications with jammer assistance for UAV systems: Joint trajectory design and resource allocation[J]. IEEE Journal on Selected Areas in Communications, 2026, 44: 1675–1691. doi: 10.1109/JSAC.2025.3637734.
[15]	WANG Haichao, BAI Hengzhi, LI Fei, et al. Throughput maximization for covert UAV relaying system[J]. IEEE Transactions on Vehicular Technology, 2024, 73(3): 4429–4434. doi: 10.1109/TVT.2023.3324919.
[16]	MAMAGHANI M T, ZHOU Xiangyun, YANG Nan, et al. Secure short-packet communications via UAV-enabled mobile relaying: Joint resource optimization and 3D trajectory design[J]. IEEE Transactions on Wireless Communications, 2024, 23(7): 7802–7815. doi: 10.1109/TWC.2023.3344802.
[17]	WANG Manlin, LIU Tian, LU Ouxin, et al. Robust beamforming for secure and covert communications against location uncertainty[J]. IEEE Wireless Communications Letters, 2025, 14(11): 3685–3689. doi: 10.1109/LWC.2025.3600665.
[18]	WANG Jinyuan, FU Xiantao, LU Rongrong, et al. Tight capacity bounds for indoor visible light communications with signal-dependent noise[J]. IEEE Transactions on Wireless Communications, 2021, 20(3): 1700–1713. doi: 10.1109/TWC.2020.3035615.
[19]	WANG Junbo, HU Qingsong, WANG Jiangzhou, et al. Tight bounds on channel capacity for dimmable visible light communications[J]. Journal of Lightwave Technology, 2013, 31(23): 3771–3779. doi: 10.1109/JLT.2013.2286088.
[20]	ZARINI H, GHOLIPOOR N, MILI M R, et al. Multiplexing B5G/6G services over aerial VLC networks: A comprehensive radio resource management framework[J]. IEEE Internet of Things Journal, 2025, 12(9): 11600–11621. doi: 10.1109/JIOT.2024.3523016.
[21]	ABDEL-RAHMAN M J, ALWAQFI A M, ATOUM J K, et al. A novel multi-objective sequential resource allocation optimization for UAV-assisted VLC[J]. IEEE Transactions on Vehicular Technology, 2023, 72(5): 6896–6901. doi: 10.1109/TVT.2023.3233991.
[22]	YANG Yang, CHEN Mingzhe, GUO Caili, et al. Power efficient visible light communication with unmanned aerial vehicles[J]. IEEE Communications Letters, 2019, 23(7): 1272–1275. doi: 10.1109/LCOMM.2019.2916998.
[23]	WU Kun, DONG Yuhan, YU Xinchun, et al. Relay-aided physical layer security in multi-user VLC with single light source using cooperative jamming[J]. IEEE Transactions on Vehicular Technology, 2025, 74(9): 15002–15007. doi: 10.1109/TVT.2025.3566084.
[24]	CANG Yihan, CHEN Ming, ZHAO Jingwen, et al. Joint deployment and resource management for VLC-enabled RISs-assisted UAV networks[J]. IEEE Transactions on Wireless Communications, 2023, 22(2): 746–760. doi: 10.1109/TWC.2022.3165853.
[25]	WANG Yining, CHEN Mingzhe, YANG Zhaohui, et al. Deep learning for optimal deployment of UAVs with visible light communications[J]. IEEE Transactions on Wireless Communications, 2020, 19(11): 7049–7063. doi: 10.1109/TWC.2020.3007804.
[26]	王金元, 余鹏飞, 石佳炜, 等. 隐蔽可见光通信的基本性能限研究[J]. 电子与信息学报, 2022, 44(8): 2619–2628. doi: 10.11999/JEIT220026. WANG Jinyuan, YU Pengfei, SHI Jiawei, et al. Research on fundamental performance limit of covert visible light communications[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2619–2628. doi: 10.11999/JEIT220026.
[27]	WANG He, WEI Jiaqi, WU Mengru, et al. Security-oriented UAV deployment, DNN splitting, and resource allocation for collaborative inference[J]. IEEE Wireless Communications Letters, 2026, 15: 455–459. doi: 10.1109/LWC.2025.3628854.