Optimizing Energy Efficiency in Optical Transport Networks through Autonomous AI-Assisted Control Operations
This work explores Deep Reinforcement Learning to develop advanced RMSA policies that support autonomous control operations, optimizing the trade-off between network performance and energy efficiency in integrated packet and elastic optical networks.
Authors
- Ramon Casellas
- Carlos Hernández-Chulde (ORCID: https://orcid.org/0000-0002-1879-2494)
- Ricardo Martínez (ORCID: https://orcid.org/0000-0003-3097-5485)
- Ricard Vilalta (ORCID: https://orcid.org/0000-0003-0391-9728)
- Raul Muñoz
Institutions
- Centre Tecnologic de Telecomunicacions de Catalunya (ES)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ofc.2025.tu2h.3
- Citations
- 1
- Primary Topic
- Advanced Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73