Hierarchical Reinforcement Learning in Multi-Domain Elastic Optical Networks to Realize Joint RMSA
Author:
Affiliation:
1. School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China
2. School of Electronics and Information Engineering, South China Normal University, Foshan, China
Funder
National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/50/10084412/10011542.pdf?arnumber=10011542
Reference39 articles.
1. Routing and Spectrum Allocation in Elastic Optical Networks: A Tutorial
2. Dynamic Service Provisioning of Advance Reservation Requests in Elastic Optical Networks
3. Routing and spectrum assignment: A metaheuristic for hybrid ordering selection in elastic optical networks
4. DeepMDR: A Deep-Learning-Assisted Control Plane System for Scalable, Protocol-Independent, and Multi-Domain Network Automation
5. Routing, Spectrum and Modulation Level Assignment, and Scheduling in Survivable Elastic Optical Networks Supporting Multi-Class Traffic
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