Robust Beamforming Design for STAR-RIS Aided RSMA Network With Hardware Impairments

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Robust Beamforming Design for STAR-RIS Aided RSMA Network With Hardware Impairments
Title:
Robust Beamforming Design for STAR-RIS Aided RSMA Network With Hardware Impairments
Journal Title:
IEEE Transactions on Vehicular Technology
Keywords:
Publication Date:
13 October 2025
Citation:
Wang, Z., Ma, X., Peng, X., Li, Z., Liu, J., Guan, Y., & Yuen, C. (2026). Robust Beamforming Design for STAR-RIS Aided RSMA Network With Hardware Impairments. IEEE Transactions on Vehicular Technology, 75(4), 6087–6098. https://doi.org/10.1109/tvt.2025.3620378
Abstract:
In this article, we investigate the robust beamforming design for a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided downlink rate-splitting multiple access (RSMA) communication system, where both transceivers and STAR-RIS suffer from the impact of hardware impairments (HWI). A base station (BS) is deployed to transmit messages concurrently to multiple users, utilizing a STAR-RIS to improve communication quality and expand user coverage. We aim to maximize the achievable sum rate of the users while ensuring the constraints of transmit power, STAR-RIS coefficients, and the actual rate of the common stream for all users. To solve this challenging high-coupling and non-convexity problem, we adopt a fractional programming (FP)-based alternating optimization (AO) approach, where each sub-problem is addressed via successive convex approximation (SCA) and penalty function (PF) methods. Numerical results demonstrate that the proposed scheme outperforms other multiple access schemes and conventional passive RIS in terms of the achievable sum rate. Additionally, considering the HWI of the transceiver and STAR-RIS makes our algorithm more robust than when such considerations are not included.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research, Singapore - Manufacturing, Trade, and Connectivity Programmatic
Grant Reference no. : M22L1b0110

This research / project is supported by the Ministry of Education, Singapore - Academic Research Fund Tier 2
Grant Reference no. : T2EP50124-0032
Description:
© 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
0018-9545
1939-9359
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