Ultra-high-cardinality geometric shaping in the finite SNR regime

Four-dimensional (4D) constellations with up to 131 072 points (17 bit/4D-sym) are designed for the first time using geometric shaping. The constellations are optimized in terms of mutual information (MI) and generalized MI (GMI) for the additive white Gaussian noise (AWGN) channel, targeting a forward error correction (FEC) rate of 0.8 at finite signal-to-noise ratios. The presented 15-17 bit constellations are currently the highest-performing constellations in the literature, having a gap to the AWGN capacity as low as 0.17 dB (MI) and 0.45 dB (GMI) at 17 bit/4D-sym. For lower cardinalities, our constellations match or closely approach the performance of previously published optimized constellations. We also show that (GMI-)optimized constellations with a symmetry constraint, optimized for a FEC rate of 0.8, perform nearly identical to their unconstrained counterparts for cardinalities above 8 bit/4D-sym. A symmetry constraint for MI-optimized constellations is shown to have a negative impact in general. The proposed procedure relies on a Monte-Carlo-based approach for evaluating performance and is extendable to other (nonlinear) channels. Stochastic gradient descent is used for the optimization algorithm for which the gradients are computed using automatic differentiation. This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.

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Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2024-09-09
DOI
https://doi.org/10.1098/rsta.2024.0059
Citations
3
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.63

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article

Ultra-high-cardinality geometric shaping in the finite SNR regime

Inwoong Kim, Paparao Palacharla, Yunus Can Gültekin, Olga Vassilieva et al.
3 citations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Optical Network Technologies
0.63
article

Ultra-high-cardinality geometric shaping in the finite SNR regime

Inwoong Kim, Paparao Palacharla, Yunus Can Gültekin, Olga Vassilieva, Alex Alvarado, Sebastiaan Goossens, Chigo Okonkwo
article en
3 citations

Abstract

Four-dimensional (4D) constellations with up to 131 072 points (17 bit/4D-sym) are designed for the first time using geometric shaping. The constellations are optimized in terms of mutual information (MI) and generalized MI (GMI) for the additive white Gaussian noise (AWGN) channel, targeting a forward error correction (FEC) rate of 0.8 at finite signal-to-noise ratios. The presented 15-17 bit constellations are currently the highest-performing constellations in the literature, having a gap to the AWGN capacity as low as 0.17 dB (MI) and 0.45 dB (GMI) at 17 bit/4D-sym. For lower cardinalities, our constellations match or closely approach the performance of previously published optimized constellations. We also show that (GMI-)optimized constellations with a symmetry constraint, optimized for a FEC rate of 0.8, perform nearly identical to their unconstrained counterparts for cardinalities above 8 bit/4D-sym. A symmetry constraint for MI-optimized constellations is shown to have a negative impact in general. The proposed procedure relies on a Monte-Carlo-based approach for evaluating performance and is extendable to other (nonlinear) channels. Stochastic gradient descent is used for the optimization algorithm for which the gradients are computed using automatic differentiation. This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 382(2281)
Fujitsu (United States) (US), Eindhoven University of Technology (NL)
H2020 European Research Council
Openalex Percentile: Top 32%
Optical Network Technologies
0.63
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