Hybrid Learning Assisted Abstraction for Service Performance Assessment over Multi-Domain Optical Networks

This paper demonstrates the field-trial validation for a novel machine learning-assisted lightpath abstraction strategy in multi-domain optical network scenarios. The proposed abstraction framework shows high accuracy for dynamic optical networks with 0.44 dB estimation error.