Secure and Robust Beamforming Algorithm for RIS Assisted MISO Systems

LI Guoquan; DANG Gang; LIN Jinzhao; XU Yongjun; HUANG Zhengwen

doi:10.11999/JEIT220894

Volume 45 Issue 8

Aug. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(8): 2867-2875

LI Guoquan, DANG Gang, LIN Jinzhao, XU Yongjun, HUANG Zhengwen. Secure and Robust Beamforming Algorithm for RIS Assisted MISO Systems[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2867-2875. doi: 10.11999/JEIT220894

Citation:

LI Guoquan, DANG Gang, LIN Jinzhao, XU Yongjun, HUANG Zhengwen. Secure and Robust Beamforming Algorithm for RIS Assisted MISO Systems[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2867-2875. doi: 10.11999/JEIT220894

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Secure and Robust Beamforming Algorithm for RIS Assisted MISO Systems

doi: 10.11999/JEIT220894

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing 400065, China

Funds: The National Key Research and Development Program of China (2019YFC1511300), The National Natural Science Foundation of China (U21A20447), The Natural Science Foundation of Chongqing (cstc2020jcyj-cxttX0002)

Received Date: 2022-07-04
Rev Recd Date: 2023-02-27

Available Online: 2023-03-13

Publish Date: 2023-08-21

Abstract

Abstract

To solve the problem of information transmission security caused by wireless channel openness and system transmission performance deterioration caused by channel estimation error, a Charnes-Cooper robust beamforming algorithm is proposed for Reconfigurable Intelligent Surface (RIS) assisted Multiple-Input Single-Output (MISO) systems with eavesdroppers. A bounded channel uncertainty model is established for the eavesdropper, and the base station beamforming and RIS phase shift are jointly optimized to maximize user secrecy rate based on the constraints of maximum transmit power and RIS phase shifts. To solve the non-convex problem, it is first converted to a convex optimization problem by variable substitution, Charnes-Cooper method and S-procedure method, and then the coupling variables are indirectly and alternately optimized to obtain robust beamforming matrix and RIS phase shifts. Simulation results show that the proposed RIS-based joint optimization algorithm has better user confidentiality and robustness.
- Multiple-Input Single-Output (MISO),
- Reconfigurable Intelligent Surface (RIS),
- Imperfect Channel State Information (CSI),
- Secrecy rate,
- Achievable rate

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References(25)

References

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