研究目的
To maximize the sum-rate and Signal-to-Noise-Ratio (SNR) in a downlink NOMA-based VLC system using convex optimization techniques under user fairness and intensity constraints.
研究成果
The optimized NOMA-based VLC system shows significant improvements in BER and sum-rate compared to the conventional system, both for LoS and LoS+NLoS channels. Future work could involve applying single-objective and multi-objective optimization techniques to further enhance VLC system performance under limited resources.
研究不足
The study is limited to a two-user downlink scenario and simulations; real-world implementation and scalability to more users are not addressed. The optimization may increase computational complexity, and the constraints (e.g., intensity limits) might not cover all practical scenarios.
1：Experimental Design and Method Selection:
The study designs a NOMA-based VLC system for downlinks, using convex optimization to maximize sum-rate. The non-convex optimization problem is transformed into a convex one using relaxation methods and solved with the CVX solver in MATLAB.
2：Sample Selection and Data Sources:
Simulations are performed for a two-user scenario (M=2) with parameters such as room size, modulation order, channel type, etc., as listed in Table I.
3：List of Experimental Equipment and Materials:
Includes LED as transmitter, photodiodes (PDs) as receivers, and MATLAB software with CVX solver. Specific models or brands are not detailed.
4：Experimental Procedures and Operational Workflow:
Implement conventional and optimized NOMA-VLC systems in MATLAB, simulate BER and sum-rate under varying SNR, using fixed power allocation initially and optimized power values from CVX.
5：Data Analysis Methods:
Performance metrics (BER and sum-rate) are calculated and compared between conventional and optimized systems using percentage improvements.
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