Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning

Shen Li, Christian Häger, Nil Garcia +1

Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel. The approach jointly optimizes the input distribution (constellation shaping…