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20102026
most citedOn Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel

376 citations · 2.9k across the 110 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

eess.SP2020★ 45 cited

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Rick M. Bütler, Christian Häger, Henry D. Pfister +2

In this paper, we propose a model-based machine-learning approach for dual-polarization systems by parameterizing the split-step Fourier method for the Manakov-PMD equation. The re…

cs.IT2020

Nonlinear Interference Analysis of Probabilistic Shaping vs. 4D Geometrically Shaped Formats

Bin Chen, Chigo Okonkwo, Alex Alvarado

Performance trade-offs between linear shaping and nonlinear tolerance of the recently introduced 4D orthant-symmetric 128-ary modulation format are investigated. Numerical simulati…

cs.IT2020★ 5 cited

Comparison of Short Blocklength Sphere Shaping and Nonlinearity Compensation in WDM Systems

Abdelkerim Amari, Lutz Lampe, O. S. Sunish Kumar +2

In optical communication systems, short blocklength probabilistic enumerative sphere shaping (ESS) provides both linear shaping gain and nonlinear tolerance. In this work, we inves…

eess.SP2020★ 13 cited

Analytical Modeling of Nonlinear Fiber Propagation for Four Dimensional Symmetric Constellations

Hami Rabbani, Mostafa Ayaz, Lotfollah Beygi +4

Coherent optical transmission systems naturally lead to a four dimensional (4D) signal space, i.e., two polarizations each with two quadratures. In this paper we derive an analytic…

eess.SP2020★ 20 cited

Extending fibre nonlinear interference power modelling to account for general dual-polarisation 4D modulation formats

Gabriele Liga, Astrid Barreiro, Hami Rabbani +1

In optical communications, four-dimensional (4D) modulation formats encode information onto the quadrature components of two arbitrary orthogonal states of polarisation of the opti…

cs.IT2020★ 23 cited

Novel High-Throughput Decoding Algorithms for Product and Staircase Codes based on Error-and-Erasure Decoding

Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado

Product codes (PCs) and staircase codes (SCCs) are conventionally decoded based on bounded distance decoding (BDD) of the component codes and iterating between row and column decod…

eess.SP2020★ 48 cited

Revisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration

Vinícius Oliari, Sebastiaan Goossens, Christian Häger +7

Efficient nonlinearity compensation in fiber-optic communication systems is considered a key element to go beyond the "capacity crunch''. One guiding principle for previous work on…

cs.IT2020★ 18 cited

Refined Reliability Combining for Binary Message Passing Decoding of Product Codes

Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva +1

We propose a novel soft-aided iterative decoding algorithm for product codes (PCs). The proposed algorithm, named iterative bounded distance decoding with combined reliability (iBD…

eess.SP2020★ 41 cited

Analysis and Experimental Demonstration of Orthant-Symmetric Four-dimensional 7 bit/4D-sym Modulation for Optical Fiber Communication

Bin Chen, Alex Alvarado, Sjoerd van der Heide +3

We propose a new four-dimensional orthant-symmetric 128-ary modulation format (4D-OS128) with a spectral efficiency of 7bit/4D-sym. The proposed format fills the gap between polari…

cs.IT2020★ 9 cited

Achievable Information Rates for Probabilistic Amplitude Shaping: An Alternative Approach via Random Sign-Coding Arguments

Yunus Can Gültekin, Alex Alvarado, Frans M. J. Willems

Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping and channel coding are combined. PAS has attracted considerable attention in bot…

eess.SP2020

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Christian Häger, Henry D. Pfister, Rick M. Bütler +2

We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation. This approach performs…