activity
20192022
most citedIntroducing Enumerative Sphere Shaping for Optical Communication Systems with Short Blocklengths

110 citations · 228 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2022

4D Geometric Shell Shaping with Applications to 400ZR

Sebastiaan Goossens, Yunus Can Gültekin, Olga Vassilieva +4

Geometric shell shaping is introduced and evaluated for reach increase and nonlinearity tolerance in terms of MI against PM-16QAM and PS-PM-16QAM in a 400ZR compatible transmission…

eess.SP2022★ 15 cited

Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise

Sebastiaan Goossens, Yunus Can Gültekin, Olga Vassilieva +4

Four dimensional geometric shell shaping (4D-GSS) is introduced as an approach for closing the nonlinearity-caused shaping gap. This format is designed at the spectral efficiency o…

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.SP2021★ 11 cited

High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical Communications Optimized via End-to-End Learning

Vinícius Oliari, Boris Karanov, Sebastiaan Goossens +6

In this paper we carry out a joint optimization of probabilistic (PS) and geometric shaping (GS) for four-dimensional (4D) modulation formats in long-haul coherent wavelength divis…

eess.SP2021★ 4 cited

Real-time Transmission of Geometrically-shaped Signals using a Software-defined GPU-based Optical Receiver

Sjoerd van der Heide, Ruben S. Luis, Sebastiaan Goossens +8

A software-defined optical receiver is implemented on an off-the-shelf commercial graphics processing unit (GPU). The receiver provides real-time signal processing functionality to…

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…

eess.SP2019★ 27 cited

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★ 13 cited

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★ 110 cited

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…