Secrecy-Capacity Bounds for Visible Light Communications With Signal-Dependent Noise
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Wang, Jin-Yuan
Yu, Peng-Fei
Fu, Xian-Tao

Wang, Jun-Bo

Lin, Min

Cheng, Julian

Alouini, Mohamed-Slim

KAUST Department
Electrical and Computer Engineering ProgramComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2023-03-03Permanent link to this record
http://hdl.handle.net/10754/672026
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In physical-layer security, secrecy capacity is an important performance metric. This work aims to determine the secrecy capacity for an indoor visible light communication system consisting of a transmitter, a legitimate receiver and an eavesdropping receiver. In such a system, both signal-independent noise and signal-dependent noise are considered. Under nonnegativity and average optical intensity constraints, lower and upper bounds on secrecy capacity are derived by the variational method, the dual expression of the secrecy capacity, and the concept of “the optimal input distribution that escapes to infinity”. By an asymptotic analysis at large optical intensity, there is a small gap between the asymptotic upper and lower bounds. Then, by adding a peak optical intensity constraint, we further analyze the exact and asymptotic secrecy-capacity bounds. For practical considerations, the effects of imperfect channel state information, multi-photodiode eavesdropper, and artificial noise on secrecy performance are also discussed. Finally, the derived secrecy-capacity bounds are verified by numerical results.Citation
Wang, J.-Y., Yu, P.-F., Fu, X.-T., Wang, J.-B., Lin, M., Cheng, J., & Alouini, M.-S. (2023). Secrecy-Capacity Bounds for Visible Light Communications With Signal-Dependent Noise. IEEE Transactions on Wireless Communications, 1–1. https://doi.org/10.1109/twc.2023.3249222Sponsors
This work was supported in part by the Natural Science Foundation of Jiangsu Province under Grant BK20221328, in part by the open research fund of Chuan and Zang Smart Tourism Engineering Research Center of Colleges and Universities of Sichuan Province under Grant ZLGC2022A01, in part by the open research fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, China under Grant JZNY202115, in part by the Jiangsu Province Science and Technology Project under Grant BE2021031, and in part by the Jiangsu Province Information Innovation Laboratory Project.arXiv
2109.11097Additional Links
https://ieeexplore.ieee.org/document/10058906/ae974a485f413a2113503eed53cd6c53
10.1109/twc.2023.3249222