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Field Trial of Gaussian Process Learning of Function-Agnostic Channel Performance Under Uncertainty

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Abstract

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.

© 2018 The Author(s)

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