Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger; Alex  Alvarado

Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger (Corresponding author), Alex Alvarado

Signal Processing Systems

Research output: Contribution to journal › Article › Academic

24 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
Publication status	Published - 5 Jul 2019

Bibliographical note

4pages, 3 figures, ECOC2019

Access to Document

publishers versionFinal published version, 288 KB

https://arxiv.org/abs/1907.02846

Fingerprint Dive into the research topics of 'Analysis and optimization of distribution matching for the nonlinear fibre channel'. Together they form a unique fingerprint.

1 Active

Fundamentals of the Nonlinear Optical Channel
Alvarado, A., van Hout, J., Keijzers, A., Keijzers, A., Liga, G., Barreiro, A., Rabbani, H., Fehenberger, T., Willems, F. M. J., Sanders, R., Alvarado, A., Barreiro, A., Sheikh, A., Sheikh, A., Goossens, S. & de Jonge, M.
1/01/18 → 31/12/22
Project: Research direct

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",

language = "English",

journal = "arXiv",

publisher = "Cornell University Library",

}

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

UR - https://arxiv.org/abs/1907.02846

M3 - Article

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

Fundamentals of the Nonlinear Optical Channel

Cite this