Meta Learning based QoT Estimation of lightpaths with few samples for Optical Networks

We propose a meta learning based QoT estimation method to estimate the quality of transmission of lightpaths with few samples. The simulation results demonstrate that the proposed method outperforms the traditional models and save training samples significantly.