Adaptive Traffic Data Augmentation using Generative Adversarial Networks for Optical Networks

We propose an adaptive traffic data augmentation technique based on generative adversarial networks trained with partial experimental data for optical networks and verify that the augmented traffic is similar to experimental traffic under diverse scenarios.