Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger; Alex  Alvarado

doi:10.48550/arXiv.1907.02846

Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger (Corresponding author)
, Alex Alvarado

Research output: Contribution to journal › Article › Academic

85 Downloads (Pure)

Abstract

Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to the variable-composition nature of modern probabilistic shaping schemes. We propose a nonlinearity-optimised distribution matcher that improves the average and worst-case SNR by 0.14 and 0.22 dB, respectively

Original language	English
Article number	1907.02846v1
Number of pages	4
Journal	arXiv
Volume	2019
DOIs	https://doi.org/10.48550/arXiv.1907.02846
Publication status	Published - 5 Jul 2019

Bibliographical note

4pages, 3 figures, ECOC2019

Access to Document

10.48550/arXiv.1907.02846

publishers versionFinal published version, 288 KB

FUN-NOTCH: Fundamentals of the Nonlinear Optical Channel
Alvarado, A. (Project Manager), Liga, G. (Project member), Barreiro, A. (Project member), Willems, F. M. J. (Project communication officer), Sanders, R. (Project communication officer), Alvarado, A. (Project communication officer), Barreiro, A. (Project communication officer), Sheikh, A. (Project member), Goossens, S. (Project member), de Jonge, M. (Project communication officer), Gültekin, Y. C. (Project member), Jaffal, Y. (Project member), Oliari, V. (Project member), Ramachandran, V. (Project member), Alvarado, A. (Project Manager), Gültekin, Y. C. (Project member), Oliari, V. (Project member), Liga, G. (Project member), Sheikh, A. (Project member), Barreiro, A. (Project member), Goossens, S. (Project member) & Ramachandran, V. (Project member)
1/01/18 → 30/06/25
Project: Third tier

Cite this

@article{43eaab9d6a03414485dc606857aa7536,

title = "Analysis and optimization of distribution matching for the nonlinear fibre channel",

abstract = "Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to the variable-composition nature of modern probabilistic shaping schemes. We propose a nonlinearity-optimised distribution matcher that improves the average and worst-case SNR by 0.14 and 0.22 dB, respectively",

author = "Tobias Fehenberger and Alex Alvarado",

note = "4pages, 3 figures, ECOC2019",

year = "2019",

month = jul,

day = "5",

doi = "10.48550/arXiv.1907.02846",

language = "English",

volume = "2019",

journal = "arXiv",

publisher = "Cornell University",

}

TY - JOUR

T1 - Analysis and optimization of distribution matching for the nonlinear fibre channel

AU - Fehenberger, Tobias

AU - Alvarado, Alex

N1 - 4pages, 3 figures, ECOC2019

PY - 2019/7/5

Y1 - 2019/7/5

N2 - Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to the variable-composition nature of modern probabilistic shaping schemes. We propose a nonlinearity-optimised distribution matcher that improves the average and worst-case SNR by 0.14 and 0.22 dB, respectively

AB - Enhanced Gaussian noise models are used to demonstrate that the per-block SNR after fibre transmission varies significantly due to the variable-composition nature of modern probabilistic shaping schemes. We propose a nonlinearity-optimised distribution matcher that improves the average and worst-case SNR by 0.14 and 0.22 dB, respectively

U2 - 10.48550/arXiv.1907.02846

DO - 10.48550/arXiv.1907.02846

M3 - Article

VL - 2019

JO - arXiv

JF - arXiv

M1 - 1907.02846v1

ER -

Analysis and optimization of distribution matching for the nonlinear fibre channel

Abstract

Bibliographical note

Access to Document

Fingerprint

Projects

FUN-NOTCH: Fundamentals of the Nonlinear Optical Channel

Cite this