Abstract

The paper proposes a deep reinforcement learning (DRL) based policy for power efficient dynamic subcarrier assignment in OFDMA-PONs. The simulation results show it can reaches the near-optimal traffic delay with a significant power saving.

© 2019 The Author(s)

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