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Deep Reinforcement Learning for Infrastructure as a Service over Flexible Optical Networks

Beghelli Zapata, Alejandra; Doherty, Michael; (2023) Deep Reinforcement Learning for Infrastructure as a Service over Flexible Optical Networks. In: Proceedings of the 49th European Conference on Optical Communications. IET (Institution of Engineering and Technology): Glasgow, UK. (In press). Green open access

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Abstract

We apply a single deep reinforcement learning agent for dynamic virtual network provisioning. Benchmarked against state of the art heuristics, our approach achieves an order of magnitude lower blocking probability. Interpretability analysis provides insight to the agent’s use of spectrum resources.

Type: Proceedings paper
Title: Deep Reinforcement Learning for Infrastructure as a Service over Flexible Optical Networks
Event: 49th European Conference on Optical Communications
Location: Glasglow, UK
Dates: 1st-5th October 2023
Open access status: An open access version is available from UCL Discovery
Publisher version: https://ecoc2023.theiet.org/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10173337
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