Reinforcement learning agent optimizes DA-RoF transmitter parameters to achieve up to 2.7 dB SNR gains for high-order QAM modulations.
Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network,
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Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul
Reinforcement learning agent optimizes DA-RoF transmitter parameters to achieve up to 2.7 dB SNR gains for high-order QAM modulations.