Adnan KhanAdnanProduct & AI
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FIELD NOTES TOPIC

o-ran

4 notes, newest first.

  1. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note ·

    The paper proposes a Q-learning based adaptive retraining approach for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL). The goal is to balance forecasting accuracy and retraining cost, which can…

  2. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note ·

    Researchers propose a Q-learning-based adaptive retraining approach using Reinforcement Learning (RL) to handle drift in Open Radio Access Networks (O-RAN). This approach aims to balance forecasting accuracy and…

  3. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note ·

    The paper proposes an adaptive retraining method for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL). The goal is to balance forecasting accuracy and retraining cost in the presence of dynamic…

  4. ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning

    Source note ·

    Researchers propose a Q-learning based adaptive retraining approach for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL) to address the issue of drift that degrades the performance of AI/ML models…