Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error
Information Theory
2022-06-03 v1 Signal Processing
math.IT
Abstract
An entropy-regularized mean square error (MSE-X) cost function is proposed for nonlinear equalization of short-reach optical channels. For a coherent optical transmission experiment, MSE-X achieves the same bit error rate as the standard MSE cost function and a significantly higher achievable information rate.
Cite
@article{arxiv.2206.01004,
title = {Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error},
author = {Francesca Diedolo and Georg Böcherer and Maximilian Schädler and Stefano Calabró},
journal= {arXiv preprint arXiv:2206.01004},
year = {2022}
}