Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation
Information Theory
2024-11-05 v1 Signal Processing
math.IT
Abstract
We propose a low-complexity sign-dependent metric for sequence selection and study the nonlinear shaping gain achievable for a given computational cost, establishing a benchmark for future research. Small gains are obtained with feasible complexity. Higher gains are achievable in principle, but with high complexity or a more sophisticated metric.
Keywords
Cite
@article{arxiv.2411.02004,
title = {Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation},
author = {Stella Civelli and Marco Secondini},
journal= {arXiv preprint arXiv:2411.02004},
year = {2024}
}
Comments
The manuscript has been submitted for publication at the optical fiber communication (OFC) conference 2025