Joint Active and Passive Secure Precoding in IRS-Aided MIMO Systems

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

doi:10.1109/GLOBECOM46510.2021.9685630

Joint Active and Passive Secure Precoding 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 › Conference article › peer-review

1 Scopus citations

Abstract

Using intelligent reflecting surfaces (IRSs), wireless propagation channels can be manipulated such that information leakage to eavesdropping terminals in a multiple-input multiple-output (MIMO) setting is significantly suppressed. This observation illustrates the potential secrecy gains of IRS-aided MIMO systems. This work develops a novel low-complexity algorithm by which these potential gains are exploited. Invoking methods from fractional programming, the algorithm iteratively designs the digital precoder at the transmitter and tunes the IRS elements, such that the weighted secrecy sum-rate is maximized. It is shown that as the algorithm iterates, the weighted secrecy sum-rate evolves in a non-decreasing way. Numerical investigations confirm the efficiency of the proposed algorithm.

Original language	English (US)
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOBECOM46510.2021.9685630
State	Published - 2021
Event	2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain Duration: Dec 7 2021 → Dec 11 2021

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing

Keywords

fractional programming
Intelligent reflecting surfaces
MIMO precoding
physical-layer security

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10.1109/GLOBECOM46510.2021.9685630

Cite this

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

abstract = "Using intelligent reflecting surfaces (IRSs), wireless propagation channels can be manipulated such that information leakage to eavesdropping terminals in a multiple-input multiple-output (MIMO) setting is significantly suppressed. This observation illustrates the potential secrecy gains of IRS-aided MIMO systems. This work develops a novel low-complexity algorithm by which these potential gains are exploited. Invoking methods from fractional programming, the algorithm iteratively designs the digital precoder at the transmitter and tunes the IRS elements, such that the weighted secrecy sum-rate is maximized. It is shown that as the algorithm iterates, the weighted secrecy sum-rate evolves in a non-decreasing way. Numerical investigations confirm the efficiency of the proposed algorithm.",

keywords = "fractional programming, Intelligent reflecting surfaces, MIMO precoding, physical-layer security",

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} 2021 IEEE.; 2021 IEEE Global Communications Conference, GLOBECOM 2021 ; Conference date: 07-12-2021 Through 11-12-2021",

year = "2021",

doi = "10.1109/GLOBECOM46510.2021.9685630",

language = "English (US)",

journal = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

issn = "2334-0983",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - Joint Active and Passive Secure Precoding 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 - 2021

Y1 - 2021

N2 - Using intelligent reflecting surfaces (IRSs), wireless propagation channels can be manipulated such that information leakage to eavesdropping terminals in a multiple-input multiple-output (MIMO) setting is significantly suppressed. This observation illustrates the potential secrecy gains of IRS-aided MIMO systems. This work develops a novel low-complexity algorithm by which these potential gains are exploited. Invoking methods from fractional programming, the algorithm iteratively designs the digital precoder at the transmitter and tunes the IRS elements, such that the weighted secrecy sum-rate is maximized. It is shown that as the algorithm iterates, the weighted secrecy sum-rate evolves in a non-decreasing way. Numerical investigations confirm the efficiency of the proposed algorithm.

AB - Using intelligent reflecting surfaces (IRSs), wireless propagation channels can be manipulated such that information leakage to eavesdropping terminals in a multiple-input multiple-output (MIMO) setting is significantly suppressed. This observation illustrates the potential secrecy gains of IRS-aided MIMO systems. This work develops a novel low-complexity algorithm by which these potential gains are exploited. Invoking methods from fractional programming, the algorithm iteratively designs the digital precoder at the transmitter and tunes the IRS elements, such that the weighted secrecy sum-rate is maximized. It is shown that as the algorithm iterates, the weighted secrecy sum-rate evolves in a non-decreasing way. Numerical investigations confirm the efficiency of the proposed algorithm.

KW - fractional programming

KW - Intelligent reflecting surfaces

KW - MIMO precoding

KW - physical-layer security

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U2 - 10.1109/GLOBECOM46510.2021.9685630

DO - 10.1109/GLOBECOM46510.2021.9685630

M3 - Conference article

AN - SCOPUS:85184369776

SN - 2334-0983

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

JF - Proceedings - IEEE Global Communications Conference, GLOBECOM

T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021

Y2 - 7 December 2021 through 11 December 2021

ER -

Joint Active and Passive Secure Precoding in IRS-Aided MIMO Systems

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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