Gaussian Process Regression for WDM System Performance Prediction
Jesper Wass, Jakob Thrane, Molly Piels, Rasmus Thomas Jones, Darko Zibar · Optical Fiber Communication Conference · 2017
Gaussian process regression is numerically and experimentally investigated to predict the bit error rate of a 24 x 28 CiBd QPSK WDM system. The proposed method produces accurate predictions from multi-dimensional and sparse measurement data.