Demonstration of Image Processing Based on Reinforcement Learning in Multi-Modal Optical Transport Networks

In optical transport networks, orchestrating concurrent services may consume extra O/E ports for optical-electric conversion, and thus will introduce excessive cost. We first demonstrate an image processing based reinforcement-learning algorithm for concurrent service orchestration in multi-modal optical networks, and simulation results show it can improve cost-efficiency by saving provisioned O/E ports.