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

Fanchao Meng, Shuangyi Yan, Konstantinos Nikolovgenis, Yu Bi, Yanni Ou, Rui Wang, Reza Nejabati, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
233 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2018 Optical Fiber Communications Conference and Exposition (OFC)
Number of pages3
ISBN (Electronic)978-1-943580-38-5
DOIs
Publication statusPublished - 2018

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