Abstract:
We first demonstrate a collaborative data-driven (using deep reinforcement learning) and model-driven (using experience knowledge) routing engine for cross-layer optimiza...Show MoreMetadata
Abstract:
We first demonstrate a collaborative data-driven (using deep reinforcement learning) and model-driven (using experience knowledge) routing engine for cross-layer optimization in a real X-Haul testbed with a real dataset, which achieves 23% wavelength saving. © 2022 The Author(s)
Date of Conference: 06-10 March 2022
Date Added to IEEE Xplore: 13 April 2022
ISBN Information:
Conference Location: San Diego, CA, USA