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Neural Architecture Search-enabled Deep Reinforcement Learning for Slice Deployment in a Converged Optical- Wireless Access Network

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Abstract

We propose a neural architecture search-enabled deep reinforcement learning (NAS- DRL) for RAN slice deployment in a converged optical-wireless access network. Simulation results validate its superiority in resources saving and DRL retaining times.

© 2021 The Author(s)

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