Abstract:
We demonstrate QoT estimation in a live network utilizing neural networks trained on synthetic data spanning a large parameter space. The ML-model predicts the measured l...Show MoreMetadata
Abstract:
We demonstrate QoT estimation in a live network utilizing neural networks trained on synthetic data spanning a large parameter space. The ML-model predicts the measured lightpath performance with <0.5dB SNR error over a wide configuration range.
Date of Conference: 06-10 June 2021
Date Added to IEEE Xplore: 26 July 2021
ISBN Information:
Conference Location: San Francisco, CA, USA