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

Research output: Contribution to conferenceConference Paper

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209 Downloads (Pure)

Abstract

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.
Original languageEnglish
Number of pages3
DOIs
Publication statusPublished - 15 Sep 2017
Event3rd European Conference and Exhibition on Optical Communication: ECOC 2017 - Gothenburg, Sweden
Duration: 17 Sep 2017 → …

Conference

Conference3rd European Conference and Exhibition on Optical Communication
CountrySweden
CityGothenburg
Period17/09/17 → …

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