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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| Veröffentlicht in: | IEEE transactions on information forensics and security Jg. 17; S. 1300 - 1315 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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IEEE
2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1556-6013, 1556-6021 |
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| 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. |
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| AbstractList | 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. |
| Author | Muller, Ralf R. Poor, H. Vincent Schaefer, Rafael F. Bereyhi, Ali Asaad, Saba Wu, Yifei |
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| SubjectTerms | 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 |
| Title | Secure Active and Passive Beamforming in IRS-Aided MIMO Systems |
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