A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink

In this letter, we consider the fundamental problem of jointly designing the transmit beamformers and the phase-shifts of the intelligent reflecting surface (IRS)/reconfigurable intelligent surface (RIS) to minimize the transmit power, subject to quality-of-service constraints at individual users in...

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Bibliographic Details
Published inIEEE wireless communications letters Vol. 12; no. 2; pp. 297 - 301
Main Authors Kumar, Vaibhav, Zhang, Rui, Renzo, Marco Di, Tran, Le-Nam
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.02.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE comsoc
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Summary:In this letter, we consider the fundamental problem of jointly designing the transmit beamformers and the phase-shifts of the intelligent reflecting surface (IRS)/reconfigurable intelligent surface (RIS) to minimize the transmit power, subject to quality-of-service constraints at individual users in an IRS-assisted multiuser multiple-input single-output downlink communication system. In particular, we propose a new successive convex approximation based second-order cone programming approach in which all the optimization variables are simultaneously updated in each iteration. Our proposed scheme achieves superior performance compared to state-of-the-art benchmark solutions. In addition, the complexity of the proposed scheme is <inline-formula> <tex-math notation="LaTeX">O(N_{\mathrm {s}}^{3.5}) </tex-math></inline-formula>, while that of state-of-the-art benchmark schemes is <inline-formula> <tex-math notation="LaTeX">O(N_{\mathrm {s}}^{7}) </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">N_{\mathrm {s}} </tex-math></inline-formula> denotes the number of reflecting elements at the IRS.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2022.3224316