Reinforcement Learning for Provisioning OTN Leased Lines
Author:
Gumaste Ashwin,Pedro Joao,Bock Harald
Abstract
We discuss reinforcement learning-based strategies for provisioning OTN leased-lines including all-optical provisioning and strategic aggregation subject to stochastic traffic in metro/regional networks. We show benefit in transceiver count and reduction of OTN cross-connect capacity.
Publisher
Optica Publishing Group
Reference2 articles.
1. Optimized provisioning of 100-GbE services over OTN based on shared protection with collocated signal regeneration and differential delay compensation;Santos,2012