A Sequence Selection Bound for the Capacity of the Nonlinear Fiber Channel

TL;DR

This paper introduces a new method to optimize input distributions and establish a lower bound on the capacity of nonlinear fiber channels, surpassing previous bounds achieved with Gaussian noise assumptions.

Contribution

It presents a novel technique for capacity lower bounds in nonlinear optical fiber channels, improving upon existing bounds with better input distribution optimization.

Findings

Improved lower bounds on nonlinear fiber channel capacity.

Enhanced input distribution optimization technique.

Outperforms previous bounds based on Gaussian noise decoding.

Abstract

A novel technique to optimize the input distribution and compute a lower bound for the capacity of the nonlinear optical fiber channel is proposed. The technique improves previous bounds obtained with the additive white Gaussian noise decoding metric.