A two-agent DRL framework with centralized training and decentralized execution outperforms single-agent DDPG, DQN, no-IRS, and random-IRS baselines for joint power and IRS mirror control in a simulated NOMA-VLC network.
Intelligent reflecting surface-aided indoor visible light communication systems,
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Two-Agent DRL for Power Allocation and IRS Orientation in Dynamic NOMA-based OWC Networks
A two-agent DRL framework with centralized training and decentralized execution outperforms single-agent DDPG, DQN, no-IRS, and random-IRS baselines for joint power and IRS mirror control in a simulated NOMA-VLC network.