Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks

2025-05-30

AI Summary

To address the coupled interference between primary and secondary users and low spectral efficiency in STAR-RIS-aided cognitive radio rate-splitting multiple access (CR-RSMA) systems, this paper proposes, for the first time, a deeply integrated framework combining cognitive radio principles with the element-level, decoupled transmission/reflection dual-domain control capability of STAR-RIS. Specifically, a transmission-reflection partitioned cooperative control architecture is introduced to enable independent, dynamic regulation of transmitted and reflected signals. Leveraging RSMA’s non-orthogonal multiple access capability and Nakagami-(m) channel modeling, the scheme achieves full-spatial interference coordination under heterogeneous QoS constraints. Theoretical analysis and simulations demonstrate that, while guaranteeing primary user quality-of-service, the proposed approach reduces the primary user’s outage probability by 42% and improves the secondary user’s ergodic rate by 3.1×, validating its efficacy and feasibility for dynamic spectrum sharing.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Cognitive Modeling & Cognitive Systems: Applications
• Intelligent Robots: Cognitive Robotics

Application Category

• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Applications of cryptography

Abstract

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.

Problem

• Enhancing interference management in STAR-RIS assisted CR-RSMA networks
• Ensuring QoS for primary users while boosting secondary user performance
• Developing adaptive transmission/reflection control via STAR-RIS partitioning

Innovation

• STAR-RIS enables full-space signal control
• Combines element and power splitting adaptively
• Partitions STAR-RIS for QoS and performance