Publication | Open Access
Field Trial of Gaussian Process Learning of Function-Agnostic Channel Performance Under Uncertainty
19
Citations
5
References
2018
Year
Field TrialEngineeringMachine LearningOptical Transmission SystemNovel PerformanceFiber OpticsUncertainty ModelingFiber-optic CommunicationDark Fiber TransmissionGaussian Process LearningStatistical Signal ProcessingData ScienceUncertainty QuantificationRobust Qot PredictorManagementFunction-agnostic Channel PerformanceOptical NetworkingPredictive AnalyticsComputer ScienceSignal ProcessingStochastic OptimizationGaussian Process
We model and experimentally demonstrate a novel performance learning method based on monitoring and Gaussian process.After 436km dark fiber transmission the model captures most of the test data with reasonable prediction error and enables a robust QoT predictor.
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