volume | PIER Journals

Abstract

Reconfigurable Intelligent Surfaces (RISs) have emerged as a transformative solution for enabling energy-efficient and interference-aware wireless communication in Sixth-Generation (6G) networks. This work investigates a novel RIS-assisted Simultaneous Wireless Information and Power Transfer (SWIPT) system where separated Power and Information Transmitters (PTx and ITx) independently serve a Power User (PU) and an Information User (IU). A low-complexity deterministic RIS phase optimization strategy is introduced, combining Semidefinite Relaxation (SDR) and Singular Value Decomposition (SVD), to maximize received power at the PU while minimizing interference at the IU. Extensive simulations under both ideal and practical constraints, including 1-bit phase quantization and 3GPP TR 38.901 Urban Micro (UMi) fading, confirm the method's robustness. Results indicate that the proposed design achieves 57.06 dB average received power at the PU and 13.78 dB signal-to-interference ratio (SIR) at the IU in realistic channels, substantially outperforming Accelerated Particle Swarm Optimization (APSO) and fixed-phase baselines. Moreover, Spectral Efficiency (SE) remains above 4.30 bps/Hz at 60 km/h user mobility, showcasing resilience to Doppler-induced channel variation. The proposed approach requires only 52 ms on MATLAB Online using cloud-based Intel Xeon Platinum hardware, confirming its suitability for near real-time applications. Despite these advantages, the design assumes static RIS configuration and perfect channel knowledge. Future work may extend toward real-time RIS reconfiguration and learning-based control under partial channel state information. These findings highlight the feasibility and adaptability of the proposed RIS-SWIPT approach for next-generation wireless systems.

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Dr. Nguyen Van Cuong