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OIRS-enhanced NOMA-VLC systems: optimization and experimental validation of sum data rate and user fairness
Optics Express
|May 4, 2026
Summary
Optical intelligent reflecting surfaces (OIRS) enhance visible light communication (VLC) by optimizing signal strength. This study introduces an OIRS-assisted NOMA-VLC system, balancing data rates and user fairness for improved performance.
Area of Science:
- Wireless communication
- Optical networking
- Signal processing
Background:
- Visible Light Communication (VLC) systems offer high bandwidth but face challenges with signal strength and interference.
- Non-Orthogonal Multiple Access (NOMA) technology aims to improve spectral efficiency and user capacity in wireless systems.
- Optical Intelligent Reflecting Surfaces (OIRS) can dynamically control signal propagation, enhancing VLC performance.
Purpose of the Study:
- To develop and evaluate an OIRS-assisted NOMA-VLC system that optimizes both sum data rate and user fairness.
- To address the non-convex optimization problem of resource allocation in OIRS-assisted NOMA-VLC systems.
- To provide the first experimental validation of OIRS-assisted NOMA-VLC systems.
Main Methods:
- A mathematical model was formulated considering OIRS configuration, successive interference cancellation (SIC), and Quality of Service (QoS) requirements.
- The problem was decomposed into two subproblems solved using an alternating optimization algorithm.
- Advanced evolutionary algorithms, including NSGA-SACM and MOEAD-HCANW, were employed for OIRS and LED power allocation optimization.
Main Results:
- The proposed OIRS-assisted NOMA-VLC system significantly outperformed baseline methods in numerical simulations.
- The system demonstrated substantial improvements in both bit rate and user fairness, particularly in indoor environments.
- Experimental validation confirmed the simulation results, showing good agreement and highlighting the effectiveness of OIRS.
Conclusions:
- OIRS effectively enhances the performance of NOMA-VLC systems by improving signal strength and reducing interference.
- The proposed resource allocation algorithms successfully balance data rate and user fairness, addressing QoS requirements.
- The integration of OIRS with NOMA-VLC presents a promising approach for future high-performance wireless communication systems.
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