activity
20102022
most citedOn Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel

376 citations · 861 across the 13 of their papers we have counts for

collaborators

13 papers

physics.optics2022

Phase Matching for Multimode Four-Wave Mixing in Few-Mode Fibers and Nano-Rib Waveguides

Tasnad Kernetzky, Norbert Hanik

We compare phase matching for four-wave mixing using one, two, three, and four waveguide modes. For the comparison, we use numerical optimizations and an estimate of the generated…

cs.IT2022★ 1 cited

Comparison of PAM-6 Modulations for Short-Reach Fiber-Optic Links with Intensity Modulation and Direct Detection

Tobias Prinz, Thomas Wiegart, Daniel Plabst +6

PAM-6 transmission is considered for short-reach fiber-optic links with intensity modulation and direct detection. Experiments show that probabilistically-shaped PAM-6 and a framed…

cs.IT2022★ 1 cited

Experiments on Bipolar Transmission with Direct Detection

Thomas Wiegart, Daniel Plabst, Tobias Prinz +6

Achievable information rates of bipolar 4- and 8-ary constellations are experimentally compared to those of intensity modulation (IM) when using an oversampled direct detection rec…

cs.IT2021★ 11 cited

Achievable Rates for Short-Reach Fiber-Optic Channels with Direct Detection

Daniel Plabst, Tobias Prinz, Thomas Wiegart +5

Spectrally efficient communication is studied for short-reach fiber-optic links with chromatic dispersion (CD) and receivers that employ direction-detection and oversampling. Achie…

cs.IT2020★ 13 cited

Wiener Filter for Short-Reach Fiber-Optic Links

Daniel Plabst, Francisco Javier García Gómez, Thomas Wiegart +1

Analytic expressions are derived for the Wiener filter (WF), also known as the linear minimum mean square error (LMMSE) estimator, for an intensity-modulation/direct-detection (IM/…

cs.IT2017★ 70 cited

Experimental Comparison of Probabilistic Shaping Methods for Unrepeated Fiber Transmission

Julian Renner, Tobias Fehenberger, Metodi P. Yankov +4

This paper studies the impact of probabilistic shaping on effective signal-to-noise ratios (SNRs) and achievable information rates (AIRs) in a back-to-back configuration and in unr…

cs.IT2016★ 376 cited

On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel

Tobias Fehenberger, Alex Alvarado, Georg Böcherer +1

Different aspects of probabilistic shaping for a multi-span optical communication system are studied. First, a numerical analysis of the additive white Gaussian noise (AWGN) channe…

cs.IT2015★ 65 cited

Impact of 4D channel distribution on the achievable rates in coherent optical communication experiments

Tobias A. Eriksson, Tobias Fehenberger, Peter A. Andrekson +3

We experimentally investigate mutual information and generalized mutual information for coherent optical transmission systems. The impact of the assumed channel distribution on the…

cs.IT2015★ 81 cited

Sensitivity Gains by Mismatched Probabilistic Shaping for Optical Communication Systems

Tobias Fehenberger, Domaniç Lavery, Robert Maher +3

Probabilistic shaping of quadrature amplitude modulation (QAM) is used to enhance the sensitivity of an optical communication system. Sensitivity gains of 0.43 dB and 0.8 dB are de…

cs.IT2015★ 89 cited

LDPC Coded Modulation with Probabilistic Shaping for Optical Fiber Systems

Tobias Fehenberger, Georg Böcherer, Alex Alvarado +1

An LDPC coded modulation scheme with probabilistic shaping, optimized interleavers and noniterative demapping is proposed. Full-field simulations show an increase in transmission d…

cs.IT2015★ 86 cited

On Achievable Rates for Long-Haul Fiber-Optic Communications

Tobias Fehenberger, Alex Alvarado, Polina Bayvel +1

Lower bounds on mutual information (MI) of long-haul optical fiber systems for hard-decision and soft-decision decoding are studied. Ready-to-use expressions to calculate the MI ar…

cs.IT2014★ 7 cited

Mutual Information as a Figure of Merit for Optical Fiber Systems

Tobias Fehenberger, Norbert Hanik

Advanced channel decoders rely on soft-decision decoder inputs for which mutual information (MI) is the natural figure of merit. In this paper, we analyze an optical fiber system b…

cs.IT2010★ 61 cited

Calculation of Mutual Information for Partially Coherent Gaussian Channels with Applications to Fiber Optics

Bernhard Goebel, René-Jean Essiambre, Gerhard Kramer +2

The mutual information between a complex-valued channel input and its complex-valued output is decomposed into four parts based on polar coordinates: an amplitude term, a phase ter…