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Cited by 327

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Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

Open access
Zhou, Gui, Pan, Cunhua, Ren, Hong, Wang, Kezhi, Renzo, Marco Di, Nallanathan, Arumugam·2020·IEEE Wireless Communications Letters

Abstract

Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert the optimization problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users.

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Metadata

Authors
Zhou, G., Pan, C., Ren, H., Wang, K., Renzo, M. D., & Nallanathan, A.
Venue
IEEE Wireless Communications Letters
Published
2020-10
Volume
9
Issue
10
Pages
1658-1662
ISSN
  • 2162-2337 (ISSN-L)
  • 2162-2345
OpenAlex
W3034980365
Cited by
327
References
3
FWCI
19.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems. https://app.cochat.ai/papers/10.1109/lwc.2020.3000490
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Zhou, G., Pan, C., Ren, H., Wang, K., Renzo, M. D., & Nallanathan, A. (2020). Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems. IEEE Wireless Communications Letters. https://doi.org/10.1109/lwc.2020.3000490

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