48 citations · 57 across the 9 of their papers we have counts for
10 papers
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…
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…
CNN-Based Equalization for Communications: Achieving Gigabit Throughput with a Flexible FPGA Hardware Architecture
Jonas Ney, Christoph Füllner, Vincent Lauinger +3
To satisfy the growing throughput demand of data-intensive applications, the performance of optical communication systems increased dramatically in recent years. With higher throug…
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…
Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks
Vincent Lauinger, Patrick Matalla, Jonas Ney +3
We demonstrate and evaluate a fully-blind digital signal processing (DSP) chain for 100G passive optical networks (PONs), and analyze different equalizer topologies based on neural…
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
Jonas Ney, Vincent Lauinger, Laurent Schmalen +1
In recent years, communication engineers put strong emphasis on artificial neural network (ANN)-based algorithms with the aim of increasing the flexibility and autonomy of the syst…
Blind Channel Equalization Using Vector-Quantized Variational Autoencoders
Jinxiang Song, Vincent Lauinger, Yibo Wu +5
State-of-the-art high-spectral-efficiency communication systems employ high-order modulation formats coupled with high symbol rates to accommodate the ever-growing demand for data…
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders
Vincent Lauinger, Fred Buchali, Laurent Schmalen
We evaluate the start-up of blind equalizers at critical working points, analyze the advantages and obstacles of commonly-used algorithms, and demonstrate how the recently-proposed…
Blind and Channel-agnostic Equalization Using Adversarial Networks
Vincent Lauinger, Manuel Hoffmann, Jonas Ney +2
Due to the rapid development of autonomous driving, the Internet of Things and streaming services, modern communication systems have to cope with varying channel conditions and a s…
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders
Vincent Lauinger, Fred Buchali, Laurent Schmalen
We investigate the potential of adaptive blind equalizers based on variational inference for carrier recovery in optical communications. These equalizers are based on a low-complex…