Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

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 be...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security Vol. 17; pp. 1300 - 1315
Main Authors: Asaad, Saba, Wu, Yifei, Bereyhi, Ali, Muller, Ralf R., Schaefer, Rafael F., Poor, H. Vincent
Format: Journal Article
Language:English
Published: New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
alternating optimization
Array signal processing
Beamforming
Downlink
Eavesdropping
fractional programming
intelligent reflecting surfaces
majorization-maximization method
Massive MIMO
Mathematical programming
MISO communication
Optimization
Physical layer security
Programming
Robustness (mathematics)
Wiretapping
ISSN:1556-6013, 1556-6021
Online Access:Get full text
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Summary: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 is comprised of 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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ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2022.3159108