USRP-based real-time experimentation platform for artificial-noise-aided MIMO system

Ziyang Yu; Huanhuan Song; Hong Wen; Yonghuang Liu; Wen Li; Wenjing Hou

doi:10.1117/12.3009304

11 October 2023 USRP-based real-time experimentation platform for artificial-noise-aided MIMO system

Ziyang Yu, Huanhuan Song, Hong Wen, Yonghuang Liu, Wen Li, Wenjing Hou

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129180U (2023) https://doi.org/10.1117/12.3009304
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Artificial noise, as a physical layer security technique, differs from traditional communication security mechanisms based on cryptography as it cannot be easily cracked by rapidly developing computational power. The theoretical research on the security of artificial-noise-assisted MIMO (Multiple-Input Multiple-Output) communication systems is quite comprehensive. However, the practical effectiveness of artificial noise in real-world systems still needs to be further validated through experimentation. This paper proposes a real-time platform for simulating experiments on MIMO communication systems assisted by artificial noise. By analyzing experimental data, it demonstrates that artificial noise has a slight impact on the reliability of legitimate MIMO communication systems while effectively enhancing system security.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyang Yu, Huanhuan Song, Hong Wen, Yonghuang Liu, Wen Li, and Wenjing Hou "USRP-based real-time experimentation platform for artificial-noise-aided MIMO system", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129180U (11 October 2023); https://doi.org/10.1117/12.3009304

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