ACCoRD trains an ANN with PPO-Clip reinforcement learning to select conflict resolution actions in O-RAN, reducing negative network events versus rule-based methods in medium and high traffic simulations.
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Supervised regression models trained on COTS smartphone PHY data predict 5G throughput and BLER across LOS, nLOS, mobility, and multi-user scenarios.
Supervised ML models trained on smartphone-captured 5G metrics can predict uplink throughput and block error rate across indoor/outdoor and mobility scenarios.
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ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps
ACCoRD trains an ANN with PPO-Clip reinforcement learning to select conflict resolution actions in O-RAN, reducing negative network events versus rule-based methods in medium and high traffic simulations.