Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commisision's projectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
An Autonomic Transmission Agent based on machine-learning is proposed for excessive bit-error-rate prediction resulting from real-time analysis of state-of-polarization (SOP). The accuracy and speed of the agent enables its use for local and remote transceiver reconfiguration.
CitationShariati, M. [et al.]. Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring. A: European Conference on Optical Communication. "2018 European Conference on Optical Communication (ECOC) : 23-27 Sept. 2018". Institute of Electrical and Electronics Engineers (IEEE), 15 November 2018, p. 1-3.