Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

Saba Asaad; Yifei Wu; Ali Bereyhi; Ralf R. Muller; Rafael F. Schaefer; H. Vincent Poor

doi:10.1109/TIFS.2022.3159108

Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

Saba Asaad, Yifei Wu, Ali Bereyhi, Ralf R. Muller, Rafael F. Schaefer, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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 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.

Original language	English (US)
Pages (from-to)	1300-1315
Number of pages	16
Journal	IEEE Transactions on Information Forensics and Security
Volume	17
DOIs	https://doi.org/10.1109/TIFS.2022.3159108
State	Published - 2022
Externally published	Yes

All Science Journal Classification (ASJC) codes

Safety, Risk, Reliability and Quality
Computer Networks and Communications

Keywords

Physical layer security
alternating optimization
fractional programming
intelligent reflecting surfaces
majorization-maximization method

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10.1109/TIFS.2022.3159108

Cite this

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title = "Secure Active and Passive Beamforming in IRS-Aided MIMO Systems",

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 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.",

keywords = "Physical layer security, alternating optimization, fractional programming, intelligent reflecting surfaces, majorization-maximization method",

author = "Saba Asaad and Yifei Wu and Ali Bereyhi and Muller, {Ralf R.} and Schaefer, {Rafael F.} and Poor, {H. Vincent}",

note = "Publisher Copyright: {\textcopyright} 2005-2012 IEEE.",

year = "2022",

doi = "10.1109/TIFS.2022.3159108",

language = "English (US)",

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T1 - Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

AU - Asaad, Saba

AU - Wu, Yifei

AU - Bereyhi, Ali

AU - Muller, Ralf R.

AU - Schaefer, Rafael F.

AU - Poor, H. Vincent

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Physical layer security

KW - alternating optimization

KW - fractional programming

KW - intelligent reflecting surfaces

KW - majorization-maximization method

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JO - IEEE Transactions on Information Forensics and Security

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Secure Active and Passive Beamforming in IRS-Aided MIMO Systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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