Beghelli Zapata, Alejandra;
Morales, Patricia;
Viera, Erick;
Jara, Nicolas;
Borquez-Paredes, Danilo;
Leiva, Ariel;
Saavedra, Gabriel;
(2023)
Approaches to dynamic provisioning in multiband elastic optical networks.
In: Gomes, Teresa and Larrabeiti-López, David and Mas-Machuca, Carmen and Valcarenghi, Luca and Jorge, Luisa and Melo, Paulo, (eds.)
2023 International Conference on Optical Network Design and Modeling (ONDM).
Institute of Electrical and Electronics Engineers (IEEE): Coimbra, Portugal.
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Abstract
Adopting multiband transmission in optical networks can cost-effectively increase network capacity without deploying new fibre. In this paper, we focus on the solutions explored by the research community to address the problem of resource allocation in dynamic multiband elastic optical networks. We start by summarising the main challenges and contributions of the design of ad-hoc heuristics. Next, we review the few recent approaches based on deep reinforcement learning and evaluate the efficacy of different techniques to improve their performance. We also discuss possible future directions for research in the area.
| Type: | Proceedings paper |
|---|---|
| Title: | Approaches to dynamic provisioning in multiband elastic optical networks |
| Event: | International Conference on Optical Network Design and Modeling (ONDM) |
| ISBN-13: | 978-3-903176-54-6 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ieeexplore.ieee.org/document/10144862 |
| 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. |
| Keywords: | Multiband optical networks, elastic optical networks, Heuristics, Reinforcement Learning |
| 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-pp.ucl.ac.uk/id/eprint/10173338 |
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