Abstract

The performance of a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided rate splitting multiple access (RSMA) system is analyzed over κ-μ fading channel, where the transceiver hardware impairment and STAR-RIS phase error are both considered. Based on the performance analysis, the signal-to-interference-plus-noise ratios of the users are derived, followed by an approximated closedform expression for the outage probability (OP). An optimization scheme for the power allocation (PA) coefficients is formulated to minimize the OP, and a closed-form expression for the optimal PA is derived. Simulation results show the effectiveness of the theoretical analysis and PA scheme, and reveal that the system with the proposed PA scheme has lower OP than that with the conventional fixed PA. Besides, the system performance degrades due to the effect of hardware impairment and/or phase errors.

Document Type

Journal Article

Date of Publication

1-1-2025

Funding Information

National Natural Science Foundation of China (62471228)

School

School of Science

Creative Commons License

Creative Commons Attribution-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License.

Publisher

IEEE

Identifier

Shihao Yan: https://orcid.org/0000-0002-4586-1926

Comments

This is an an Author's Accepted Manuscript of an article published by IEEE. © 2025 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.

Yu, X., Kong, F., & Yan, S. (2025). Performance analysis of STAR-RIS aided RSMA system with hardware impairment. IEEE Communications Letters. Advance online publication. https://doi.org/10.1109/LCOMM.2025.3567747

Available for download on Saturday, May 08, 2027

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Link to publisher version (DOI)

10.1109/LCOMM.2025.3567747