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<p>This paper investigates the integration of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RIS) with adaptive transmit power control and magnetic energy harvesting in Underlay Cognitive Radio Networks (UCRN). The proposed framework aims to enhance spectrum utilization and energy efficiency by enabling secondary users to coexist with primary networks without violating interference constraints. In the considered system, the STAR-RIS assists signal propagation by dynamically adjusting transmission and reflection coefficients, while the secondary transmitter adapts its power based on instantaneous channel and interference conditions. Moreover, magnetic induction-based energy harvesting is employed to provide sustainable energy for the secondary network devices. Simulation results demonstrate that the proposed STAR-RIS-aided UCRN significantly improves throughput and energy efficiency compared to conventional non RIS-assisted schemes.</p>

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STAR-RIS with Adaptive Transmit Power and Magnetic Energy Harvesting for Underlay Cognitive Radio Networks (UCRN)

  • 期刊论文

  • 发表日期：

    2026年7月14日

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  • Faisal Alanazi

摘要

This paper investigates the integration of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RIS) with adaptive transmit power control and magnetic energy harvesting in Underlay Cognitive Radio Networks (UCRN). The proposed framework aims to enhance spectrum utilization and energy efficiency by enabling secondary users to coexist with primary networks without violating interference constraints. In the considered system, the STAR-RIS assists signal propagation by dynamically adjusting transmission and reflection coefficients, while the secondary transmitter adapts its power based on instantaneous channel and interference conditions. Moreover, magnetic induction-based energy harvesting is employed to provide sustainable energy for the secondary network devices. Simulation results demonstrate that the proposed STAR-RIS-aided UCRN significantly improves throughput and energy efficiency compared to conventional non RIS-assisted schemes.