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Article Dans Une Revue IEEE Wireless Communications Letters Année : 2023

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

Résumé

In this letter, we consider the fundamental problem of jointly designing the transmit beamformers and the phaseshifts 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 O(N 3.5 s), while that of state-of-the-art benchmark schemes is O(N 7 s), where N s denotes the number of reflecting elements at the IRS.
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Dates et versions

hal-04069019 , version 1 (14-04-2023)

Identifiants

Citer

Vaibhav Kumar, Rui Zhang, Marco Di Renzo, Le-Nam Tran. A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink. IEEE Wireless Communications Letters, 2023, 12 (2), pp.297-301. ⟨10.1109/LWC.2022.3224316⟩. ⟨hal-04069019⟩
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