Shaping Gain for Optical Fiber Communication Systems Employing the Nonlinear Fourier Transform

Ofer Aluf; Stanislav Derevyanko

doi:https://doi.org/10.1109/LPT.2022.3153205

Shaping Gain for Optical Fiber Communication Systems Employing the Nonlinear Fourier Transform

Ofer Aluf, Stanislav Derevyanko

Department of Electrical & Computer Engineering

Ben-Gurion University of the Negev

Research output: Contribution to journal › Article › peer-review

Abstract

We demonstrate the shaping gain of up to 6.4 dB achieved by probabilistic shaping of discrete nonlinear eigenvalues for scalar and vector optical fiber channel respectively. The adopted communication scheme corresponds to the most practical PAM modulation of soliton shapes in these channels. We use the well established channel models available in the literature and used previously to perform a probabilistic shaping for discrete and continuous alphabet and show that the shaping gain for the channels in question is significantly larger than those for additive Gaussian channels for constellations of similar cardinality.

Original language	American English
Pages (from-to)	383-386
Number of pages	4
Journal	IEEE Photonics Technology Letters
Volume	34
Issue number	7
DOIs	https://doi.org/10.1109/LPT.2022.3153205
State	Published - 1 Apr 2022

Keywords

Eigenvalue communication
channel capacity
dual-polarization
nonlinear Fourier transform
shaping gain
solitons

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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https://doi.org/10.1109/LPT.2022.3153205

Cite this

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abstract = "We demonstrate the shaping gain of up to 6.4 dB achieved by probabilistic shaping of discrete nonlinear eigenvalues for scalar and vector optical fiber channel respectively. The adopted communication scheme corresponds to the most practical PAM modulation of soliton shapes in these channels. We use the well established channel models available in the literature and used previously to perform a probabilistic shaping for discrete and continuous alphabet and show that the shaping gain for the channels in question is significantly larger than those for additive Gaussian channels for constellations of similar cardinality.",

keywords = "Eigenvalue communication, channel capacity, dual-polarization, nonlinear Fourier transform, shaping gain, solitons",

author = "Ofer Aluf and Stanislav Derevyanko",

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N2 - We demonstrate the shaping gain of up to 6.4 dB achieved by probabilistic shaping of discrete nonlinear eigenvalues for scalar and vector optical fiber channel respectively. The adopted communication scheme corresponds to the most practical PAM modulation of soliton shapes in these channels. We use the well established channel models available in the literature and used previously to perform a probabilistic shaping for discrete and continuous alphabet and show that the shaping gain for the channels in question is significantly larger than those for additive Gaussian channels for constellations of similar cardinality.

AB - We demonstrate the shaping gain of up to 6.4 dB achieved by probabilistic shaping of discrete nonlinear eigenvalues for scalar and vector optical fiber channel respectively. The adopted communication scheme corresponds to the most practical PAM modulation of soliton shapes in these channels. We use the well established channel models available in the literature and used previously to perform a probabilistic shaping for discrete and continuous alphabet and show that the shaping gain for the channels in question is significantly larger than those for additive Gaussian channels for constellations of similar cardinality.

KW - Eigenvalue communication

KW - channel capacity

KW - dual-polarization

KW - nonlinear Fourier transform

KW - shaping gain

KW - solitons

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JO - IEEE Photonics Technology Letters

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IS - 7

ER -

Shaping Gain for Optical Fiber Communication Systems Employing the Nonlinear Fourier Transform

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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