On the Performance of RIS-Enhanced RSMA Networks with On-Off Control

Authors

DOI:

https://doi.org/10.4108/eetsis.9518

Keywords:

Reconfigurable Intelligent Surface, Rate-Splitting Multiple Access, mperfect SIC, On-Off Control

Abstract

As a pivotal enabling technology for the 6G wireless communication system, Reconfigurable intelligent surface (RIS) is capable of dynamically adjusting its electromagnetic elements, thereby significantly enhancing wireless network coverage, spectral efficiency, and energy sustainability. In this context, this paper investigates the integration of RIS into the rate-splitting multiple access (RSMA) framework, where the base station employs the RIS to transmit superimposed signals to multiple users simultaneously. To reduce computational complexity, a On-Off control scheme is adopted, considering both imperfect successive interference cancellation (ipSIC) and perfect successive interference cancellation (pSIC) scenarios. closed-form expressions for the exact outage probability of the $k$-th user under Rayleigh fading channels are derived. Furthermore, to more comprehensively evaluate system performance, asymptotic outage probability expressions for ipSIC/pSIC in the high signal-to-noise ratio (SNR) regime are also derived. The results demonstrate that, under identical system configurations, the RSMA-based communication scheme outperforms the non-orthogonal multiple access (NOMA) scheme, exhibiting superior spectral resource utilization and interference management capabilities. In the pSIC scenario, the user diversity order is contingent upon the number of RIS reflecting elements and the channel ordering approach. Increasing the number of RIS reflecting elements can effectively compensate for the performance degradation caused by residual interference in the ipSIC scenario, thereby further enhancing system performance

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Published

11-06-2025

How to Cite

1.
Huang H, Jiang D, Zhang N, Liang L, Zhang H. On the Performance of RIS-Enhanced RSMA Networks with On-Off Control. EAI Endorsed Scal Inf Syst [Internet]. 2025 Jun. 11 [cited 2025 Jul. 9];12(3). Available from: https://publications.eai.eu/index.php/sis/article/view/9518