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This investigation focuses on a simultaneous wireless information and power transfer (SWIPT) system, significantly enhanced by an active simultaneously transmitting and reflecting reconfigurable intelligent surface (aSTAR-RIS). It extends the degrees of freedom (DoF) for the system and addresses the “double fading” challenge seen in passive RIS frameworks. Our objective is the maximization of the sum achievable rate (SAR), achieved by optimizing the transmit beamforming vector at the base station (BS) and the coefficient and amplification matrices at the aSTAR-RIS. Through an alternating optimization (AO) strategy and fractional programming (FP), a sub-optimal solution is obtained. Simulations demonstrate that our aSTAR-RIS approach results in a 16.5% increase in performance over conventional active RIS configurations and a significant 114% improvement over passive STAR-RIS schemes.

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Joint Optimization of Maximum Achievable Rate in SWIPT Systems Assisted by Active STAR-RIS

  • 会议论文

  • 发表日期：

    2025年

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  • Junlong Yang,
  • Xizhong Qin,
  • Zhenhong Jia,
  • Lamu Mao

摘要

This investigation focuses on a simultaneous wireless information and power transfer (SWIPT) system, significantly enhanced by an active simultaneously transmitting and reflecting reconfigurable intelligent surface (aSTAR-RIS). It extends the degrees of freedom (DoF) for the system and addresses the “double fading” challenge seen in passive RIS frameworks. Our objective is the maximization of the sum achievable rate (SAR), achieved by optimizing the transmit beamforming vector at the base station (BS) and the coefficient and amplification matrices at the aSTAR-RIS. Through an alternating optimization (AO) strategy and fractional programming (FP), a sub-optimal solution is obtained. Simulations demonstrate that our aSTAR-RIS approach results in a 16.5% increase in performance over conventional active RIS configurations and a significant 114% improvement over passive STAR-RIS schemes.