activity
20192022
most citedRevisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration

48 citations · 48 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Experimental Validation of Sequence-Wise Predistorter for Evaluation of Geometrically Shaped 128-QAM

Menno van den Hout, Sjoerd van der Heide, Sebastiaan Goossens +1

A predistorter for transmitter nonlinearities is applied to the evaluation of a geometrically shaped constellation, such that constellation points are transmitted correctly during…

eess.SP202048 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…

eess.SP2019

First Experimental Demonstration of Probabilistic Enumerative Sphere Shaping in Optical Fiber Communications

Sebastiaan Goossens, Sjoerd van der Heide, Menno van den Hout +8

We transmit probabilistic enumerative sphere shaped dual-polarization 64-QAM at 350Gbit/s/channel over 1610km SSMF using a short blocklength of 200. A reach increase of 15% over co…

eess.SP2019

Enumerative Sphere Shaping for Rate Adaptation and Reach Increase in WDM Transmission Systems

Abdelkerim Amari, Sebastiaan Goossens, Yunus Can Gultekin +6

The performance of enumerative sphere shaping (ESS), constant composition distribution matching (CCDM), and uniform signalling are compared at the same forward error correction rat…

cs.IT2019

Introducing Enumerative Sphere Shaping for Optical Communication Systems with Short Blocklengths

Abdelkerim Amari, Sebastiaan Goossens, Yunus Can Gultekin +6

Probabilistic shaping based on constant composition distribution matching (CCDM) has received considerable attention as a way to increase the capacity of fiber optical communicatio…