1 citations · 1 across the 5 of their papers we have counts for
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Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems
Rodrigo Fischer, Shrinivas Chimmalgi, Andrej Rode +1
We evaluate joint probabilistic and geometric constellation shaping via reinforcement learning for complexity-constrained joint equalization and demodulation of direct detection op…
Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission
Vincent Lauinger, Lennart Schmitz, Patrick Matalla +3
We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoder-based equalization scheme for space-division-multiplexed (SDM) transmission in an experime…
A Temporal Gaussian Noise Model for Equalization-enhanced Phase Noise
Benedikt Geiger, Fred Buchali, Vahid Aref +1
Equalization-enhanced Phase Noise causes burst-like distortions in high symbol-rate transmission systems. We propose a temporal Gaussian noise model that captures these distortions…
Non-linear Equalization in 112 Gb/s PONs Using Kolmogorov-Arnold Networks
Rodrigo Fischer, Patrick Matalla, Sebastian Randel +1
We investigate Kolmogorov-Arnold networks (KANs) for non-linear equalization of 112 Gb/s PAM4 passive optical networks (PONs). Using pruning and extensive hyperparameter search, we…
Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
Laurent Schmalen, Vincent Lauinger, Jonas Ney +5
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as…
Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
Jonas Ney, Patrick Matalla, Vincent Lauinger +3
In this work, we present a high-throughput field programmable gate array (FPGA) demonstrator of an artificial neural network (ANN)-based equalizer. The equalization is performed an…