Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

Asaad S, Wu Y, Bereyhi A, Müller R, Schaefer RF, Vincent Poor H (2022)


Publication Type: Journal article

Publication year: 2022

Journal

DOI: 10.1109/TIFS.2022.3159108

Abstract

In intelligent reflecting surface (IRS)-aided multiple-input multiple-output (MIMO) systems, the IRS can be utilized to suppress the information leakage towards malicious terminals. This can lead to significant secrecy gains. This work exploits these gains via a tractable joint design of downlink beamformers and IRS phase-shifts. In this respect, we consider a generic IRS-aided MIMO wiretap setting and invoke fractional programming and alternating optimization to iteratively find the beamformers and phase-shifts that maximize the achievable weighted secrecy sum-rate. Our design concludes two low-complexity algorithms. Performance of the proposed algorithms are numerically evaluated and compared to the benchmark. The results reveal that integrating IRSs into MIMO systems not only boosts the secrecy performance, but also improves the robustness against passive eavesdropping.

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How to cite

APA:

Asaad, S., Wu, Y., Bereyhi, A., Müller, R., Schaefer, R.F., & Vincent Poor, H. (2022). Secure Active and Passive Beamforming in IRS-Aided MIMO Systems. IEEE Transactions on Information Forensics and Security. https://dx.doi.org/10.1109/TIFS.2022.3159108

MLA:

Asaad, Saba, et al. "Secure Active and Passive Beamforming in IRS-Aided MIMO Systems." IEEE Transactions on Information Forensics and Security (2022).

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