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.
|Number of pages||3|
|Publication status||Published - 15 Sep 2017|
|Event||3rd European Conference and Exhibition on Optical Communication: ECOC 2017 - Gothenburg, Sweden|
Duration: 17 Sep 2017 → …
|Conference||3rd European Conference and Exhibition on Optical Communication|
|Period||17/09/17 → …|
Meng, F., Yan, S., Wang, R., Ou, Y., Bi, Y., Nejabati, R., & Simeonidou, D. (2017). Robust Self-Learning Physical Layer Abstraction Utilizing Optical Performance Monitoring and Markov Chain Monte Carlo. Paper presented at 3rd European Conference and Exhibition on Optical Communication, Gothenburg, Sweden. https://doi.org/10.1109/ECOC.2017.8346217