49 citations · 576 across the 50 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Geometric Shaping of 2-Dimensional Constellations in the Presence of Laser Phase Noise
Hubert Dzieciol, Gabriele Liga, Eric Sillekens +2
In this paper, we propose a geometric shaping (GS) strategy to design 8, 16, 32 and 64-ary modulation formats for the optical fibre channel impaired by both additive white Gaussian…
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…
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…