B5G-OPEN @ OFC2022 #2

  • January 25, 2022
  • news
  • 344

“Evaluation of Deep Reinforcement Learning for Restoration in Optical Networks”

By C. Hern´andez-Chulde, R. Casellas, R. Mart´ınez, R. Vilalta, R. Munoz – CTTC.

Abstract: A deep reinforcement learning-based agent is presented to perform autonomous lightpath restoration upon a link failure event. The agent is evaluated against other heuristic algorithms under different traffic load and failure duration scenarios.