Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866913867577163776 |
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| author | Ibrahim, Saeed Xiao, Yue Tyrovolas, Dimitrios Tegos, Sotiris A. Diamantoulakis, Panagiotis D. Ma, Zheng Karagiannidis, George K. Fan, Pinghzi |
| author_facet | Ibrahim, Saeed Xiao, Yue Tyrovolas, Dimitrios Tegos, Sotiris A. Diamantoulakis, Panagiotis D. Ma, Zheng Karagiannidis, George K. Fan, Pinghzi |
| contents | Cognitive radio rate-splitting multiple access (CR-RSMA) has emerged as a promising multiple access framework that can efficiently manage interference and adapt dynamically to heterogeneous quality-of-service (QoS) requirements. To effectively support such demanding access schemes, programmable wireless environments have attracted considerable attention, especially through simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), which can enable full-space control of signal propagation in asymmetric user deployments. In this paper, we propose the cognitive radio (CR) functionality for STAR-RIS-assisted CR-RSMA systems, leveraging the unique capability of the STAR-RIS to combine element and power splitting for adaptive control of transmission and reflection in CR scenarios. Specifically, the proposed CR functionality partitions the STAR-RIS into two regions independently controlling the transmission and reflection of signals, simultaneously ensuring the required QoS for the primary user and enhancing the performance of the secondary user. To accurately characterize the system performance, we derive analytical expressions for the ergodic rate of the secondary user and the outage rate of the primary user under Nakagami-m fading. Finally, simulation results show that the proposed approach effectively manages interference, guarantees the QoS of the primary user, and significantly improves the throughput of the secondary user, highlighting STAR-RIS as an efficient solution for CR-RSMA-based services. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_24583 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks Ibrahim, Saeed Xiao, Yue Tyrovolas, Dimitrios Tegos, Sotiris A. Diamantoulakis, Panagiotis D. Ma, Zheng Karagiannidis, George K. Fan, Pinghzi Emerging Technologies Signal Processing Cognitive radio rate-splitting multiple access (CR-RSMA) has emerged as a promising multiple access framework that can efficiently manage interference and adapt dynamically to heterogeneous quality-of-service (QoS) requirements. To effectively support such demanding access schemes, programmable wireless environments have attracted considerable attention, especially through simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), which can enable full-space control of signal propagation in asymmetric user deployments. In this paper, we propose the cognitive radio (CR) functionality for STAR-RIS-assisted CR-RSMA systems, leveraging the unique capability of the STAR-RIS to combine element and power splitting for adaptive control of transmission and reflection in CR scenarios. Specifically, the proposed CR functionality partitions the STAR-RIS into two regions independently controlling the transmission and reflection of signals, simultaneously ensuring the required QoS for the primary user and enhancing the performance of the secondary user. To accurately characterize the system performance, we derive analytical expressions for the ergodic rate of the secondary user and the outage rate of the primary user under Nakagami-m fading. Finally, simulation results show that the proposed approach effectively manages interference, guarantees the QoS of the primary user, and significantly improves the throughput of the secondary user, highlighting STAR-RIS as an efficient solution for CR-RSMA-based services. |
| title | Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks |
| topic | Emerging Technologies Signal Processing |
| url | https://arxiv.org/abs/2505.24583 |