Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping

Fuente: arXiv
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Autores principales: Deng, Jingxin, Chen, Bin, Liang, Zhiwei, Lei, Yi, Liga, Gabriele
Formato: Preprint
Publicado: 2025
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author Deng, Jingxin
Chen, Bin
Liang, Zhiwei
Lei, Yi
Liga, Gabriele
author_facet Deng, Jingxin
Chen, Bin
Liang, Zhiwei
Lei, Yi
Liga, Gabriele
contents We derive a heuristic nonlinear interference model for 4D probabilistic shaping considering the polarization and time correlation of the 4D symbols. We demonstrate an average SNR prediction gap from split-step Fourier simulations of 0.15~dB.
format Preprint
id arxiv_https___arxiv_org_abs_2502_20605
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping
Deng, Jingxin
Chen, Bin
Liang, Zhiwei
Lei, Yi
Liga, Gabriele
Signal Processing
We derive a heuristic nonlinear interference model for 4D probabilistic shaping considering the polarization and time correlation of the 4D symbols. We demonstrate an average SNR prediction gap from split-step Fourier simulations of 0.15~dB.
title Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping
topic Signal Processing
url https://arxiv.org/abs/2502.20605