Robust Self-Learning Physical Layer Abstraction Utilizing Optical Performance Monitoring and Markov Chain Monte Carlo

We model and experimentally demonstrate a self-learning abstraction process based on statistical assessment of the real-time monitoring data, both amplifier and non-linear noise parameters are periodically updated which further enables an accurate QoT estimator.