Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger (Corresponding author), Alex Alvarado

Research output: Contribution to journalArticleAcademicpeer-review

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
LanguageEnglish
Article number1907.02846v1
Number of pages4
JournalarXiv
StatePublished - 5 Jul 2019

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Fibers
Chemical analysis

Bibliographical note

4pages, 3 figures, ECOC2019

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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",
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language = "English",
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publisher = "Cornell University Library",

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Analysis and optimization of distribution matching for the nonlinear fibre channel. / Fehenberger, Tobias (Corresponding author); Alvarado, Alex .

In: arXiv, 05.07.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Alvarado,Alex

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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

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