MAGC-RSA: Multi-Agent Graph Convolutional Reinforcement Learning for Distributed Routing and Spectrum Assignment in Elastic Optical Networks

Huy Tran Quang; Omar Houidi; Javier Errea-Moreno; Dominique Verchere; Djamal Zeghlache

European Conference on Optical Communication (ECOC) 2022
Technical Digest Series (Optica Publishing Group, 2022),
paper Mo4B.3

MAGC-RSA: Multi-Agent Graph Convolutional Reinforcement Learning for Distributed Routing and Spectrum Assignment in Elastic Optical Networks

Huy Tran Quang, Omar Houidi, Javier Errea-Moreno, Dominique Verchere, and Djamal Zeghlache

European Conference and Exhibition on Optical Communication 2022

Basel Switzerland
18–22 September 2022
ISBN: 978-1-957171-15-9

From the session
Edge Cloud and Low Latency (Mo4B)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
H. T. Quang, O. Houidi, J. Errea-Moreno, D. Verchere, and D. Zeghlache, "MAGC-RSA: Multi-Agent Graph Convolutional Reinforcement Learning for Distributed Routing and Spectrum Assignment in Elastic Optical Networks," in European Conference on Optical Communication (ECOC) 2022, J. Leuthold, C. Harder, B. Offrein, and H. Limberger, eds., Technical Digest Series (Optica Publishing Group, 2022), paper Mo4B.3.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Save article

Abstract

This paper proposes MAGC-RSA, a Multi-Agent Graph Convolutional Reinforcement Learning approach, to solve the Routing and Spectrum Assignment (RSA) problem in a distributed manner. A blocking probability reduction of 80% can be achieved compared to the Shortest Path First-Fit approach.

PDF Article

More Like This

Routing and Spectrum Assignment Assisted by Reinforcement Learning in Multi-band Optical Networks

Abdennour Ben Terki, Joao Pedro, Antonio Eira, Antonio Napoli, and Nicola Sambo
Tu5.63 European Conference and Exhibition on Optical Communication (ECOC) 2022

Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks

Xiaoliang Chen, Jiannan Guo, Zuqing Zhu, Roberto Proietti, Alberto Castro, and S. J. B. Yoo
W4F.2 Optical Fiber Communication Conference (OFC) 2018

Deep Reinforcement Learning-based Spectrum Assignment with Multi-metric Reward Function and Assignable Boundary Slot Mask

Masayuki Shimoda and Takafumi Tanaka
M4B.3 Optoelectronics and Communications Conference (OECC) 2021

Previous Article Next Article