activity
20082022
most citedExperimental Comparison of Probabilistic Shaping Methods for Unrepeated Fiber Transmission

70 citations · 342 across the 36 of their papers we have counts for

collaborators

40 papers

eess.SP2022★ 1 cited

Spiking Neural Network Equalization for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Eric Müller +4

A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificia…

eess.SP2022★ 6 cited

Experimental Comparison of Cap and Cup Probabilistically Shaped PAM for O-Band IM/DD Transmission System

Md Sabbir-Bin Hossain, Georg Boecherer, Talha Rahman +9

For 200Gbit/s net rates, uniform PAM-4, 6 and 8 are experimentally compared against probabilistic shaped PAM-8 cap and cup variants. In back-to-back and 20km measurements, cap shap…

cs.IT2021

PAM-6 Coded Modulation for IM/DD Channels with a Peak-Power Constraint

Tobias Prinz, Thomas Wiegart, Daniel Plabst +4

Coded modulation with probabilistic amplitude shaping (PAS) is considered for intensity modulation/direct detection channels with a transmitter peak-power constraint. PAS is used t…

cs.IT2019★ 4 cited

Probabilistic Parity Shaping for Linear Codes

Georg Böcherer, Diego Lentner, Alessandro Cirino +1

Linear layered probabilistic shaping (LLPS) is proposed, an architecture for linear codes to efficiently encode to shaped code words. In the previously proposed probabilistic ampli…

cs.IT2018★ 8 cited

Polar-Coded Pulse Position Modulation for the Poisson Channel

Delcho Donev, Georg Böcherer

A polar-coded modulation scheme for deep-space optical communication is proposed. The photon counting Poisson channel with pulse position modulation (PPM) is considered. We use the…

cs.IT2018★ 1 cited

Blind Decoding-Metric Estimation for Probabilistic Shaping via Expectation Maximization

Fabian Steiner, Patrick Schulte, Georg Böcherer

An unsupervised learning approach based on expectation maximization is proposed to obtain the parameters of a soft decision forward error correction decoding metric for probabilist…