Analysis and optimization of distribution matching for the nonlinear fibre channel

Tobias Fehenberger (Corresponding author), Alex Alvarado

Research output: Contribution to journal › Article › Academic › peer-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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Chemical analysis

Bibliographical note

4pages, 3 figures, ECOC2019

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Fehenberger, Tobias ; Alvarado, Alex . / Analysis and optimization of distribution matching for the nonlinear fibre channel. In: arXiv. 2019
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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",
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Fehenberger, T & Alvarado, A 2019, 'Analysis and optimization of distribution matching for the nonlinear fibre channel' arXiv.

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 journal › Article › Academic › peer-review

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AU - Alvarado,Alex

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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

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Fehenberger T, Alvarado A. Analysis and optimization of distribution matching for the nonlinear fibre channel. arXiv. 2019 Jul 5. 1907.02846v1.

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