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Cited by 165

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Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems

Open access
Xu, Dongfang, Yu, Xianghao, Sun, Yan, Ng, Derrick Wing Kwan, Schober, Robert·2019·2019 IEEE Globecom Workshops (GC Wkshps)

Abstract

In this paper, we study resource allocation design for secure communication in intelligent reflecting surface (IRS)-assisted multiuser multiple-input single-output (MISO) communication systems. To enhance physical layer security, artificial noise (AN) is transmitted from the base station (BS) to deliberately impair the channel of an eavesdropper. In particular, we jointly optimize the phase shift matrix at the IRS and the beamforming vectors and AN covariance matrix at the BS for maximization of the system sum secrecy rate. To handle the resulting non-convex optimization problem, we develop an efficient suboptimal algorithm based on alternating optimization, successive convex approximation, semidefinite relaxation, and manifold optimization. Our simulation results reveal that the proposed scheme substantially improves the system sum secrecy rate compared to two baseline schemes.

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Metadata

Authors
Xu, D., Yu, X., Sun, Y., Ng, D. W. K., & Schober, R.
Venue
2019 IEEE Globecom Workshops (GC Wkshps)
Publisher
IEEE
Published
2019-12
Pages
1-6
OpenAlex
W2955934419
Cited by
165
References
1
FWCI
46.26
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems. https://app.cochat.ai/papers/10.1109/gcwkshps45667.2019.9024490
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Xu, D., Yu, X., Sun, Y., Ng, D. W. K., & Schober, R. (2019). Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems. 2019 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/gcwkshps45667.2019.9024490

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