Recent publications

December 2022

Increasing the reach of visible light communication links through constant-envelope OFDM signals

Higor Camporez, Volker Jungnickel, Ronald Freund, Anagnostis Paraskevopoulos, Malte Hinrichs, Wesley Da Silva Costa, Maria Pontes, Marcelo Segatto, Helder Rocha, Jair Silva

We demonstrate the transmission of constant-envelope orthogonal frequency division multiplexing (CE-OFDM) signals, based on electrical phase modulation, in a visible light communication (VLC) system. An increased tolerance to nonlinearity...

December 2022

A Novel Approach for Joint Analytical and ML-assisted GSNR Estimation in Flexible Optical Network

Farhad Arpanaei, Johannes K. Fischer, Mohammad Behnam Shariati, Pooyan Safari, Mahdi Ranjbar Zefreh, José Alberto Hernández, Andrea Carena, David Larrabeiti

We propose a novel approach to perform QoT estimation relying on joint exploitation of machine learning and analytical formula that offers accurate estimation when applied to scenarios with heterogeneous span profiles and sparsely occupied links....

December 2022

Automated Dataset Generation for QoT Estimation in Coherent Optical Communication Systems

Caio Marciano Santos, Colja Schubert, Carsten Schmidt-Langhorst, Robert Emmerich, Johannes K. Fischer, Mohammad Behnam Shariati

We demonstrate sophisticated laboratory automation and data pipeline capable of generating large, diverse, and high-quality public datasets. The demo covers the full workflow from setup reconfiguration to data monitoring and storage, represented...

December 2022

Demonstration of a Real-Time ML Pipeline for Traffic Forecasting in AI-Assisted F5G Optical Access Networks

Mihail Balanici, Ronald Freund, Johannes K. Fischer, Mohammad Behnam Shariati, Pooyan Safari, Geronimo Bergk

We showcase a proof-of-concept demonstration of a ML pipeline for real-time traffic forecasting deployed on a passive optical access network using an XGS-PON compatible telemetry framework. The demonstration reveals the benefits of fine-granular...

December 2022

Toward AI-enhanced VLC Systems for Industrial Applications

Wesley Da Silva Costa, Volker Jungnickel, Ronald Freund, Anagnostis Paraskevopoulos, Malte Hinrichs, Higor Camporez, Maria Pontes, Marcelo Segatto, Helder Rocha, Jair Silva

This paper presents optimization and deep learning procedures aiming at increasing power and spectral efficiency of visible light communications systems for two exemplary industrial scenarios. We propose a hybrid multi-objective optimization to...

December 2022

Demonstration of 1.75 Gbit/s VCSEL-Based Non-Directed Optical Wireless Communications With OOK and FDE

Malte Hinrichs, Volker Jungnickel, Martin Schubert, Wen Xu, Ronald Freund, Christoph Kottke, Dominic Schulz, Peter Hellwig, Ronald Böhnke, Giulio Boniello

We evaluate a high power on-off-keying transmitter for non-directed optical wireless communications based on VCSEL-arrays. Error-free transmission after FEC with a net data rate of 1.75 GBit/s is achieved across a distance of 2.5 m with a...

December 2022

Comparison of Uni- and Multimodal Interfaces for Spatial Interaction

David Przewozny, Sebastian Bosse, Detlef Runde, Paul Chojecki, Niklas Gard, Niklas Hoerner

Multimodal user interfaces can provide better solutions, as they combine various interaction modalities to enable more flexibility and naturalness in human-machine interactions (HMI). They allow to seamlessly adapt to user and application...

December 2022

Reducing Overhead for Low-Power Optical Wireless Communications

Malte Hinrichs, Volker Jungnickel, Peter Hellwig, Benjamin Poddig

We demonstrate on-off-keying optical wireless transmissions according to the IEEE P802.15.13 PM-PHY, in which we replace 8b10b line-coding by guided and non-guided data scramblers and compensate the remaining high-pass distortions through a...

December 2022

Explaining the Decisions of Convolutional and Recurrent Neural Networks

Wojciech Samek, Klaus-Robert Müller, Leila Arras, Grégoire Montavon, Ahmed Osman

In this chapter we discuss the algorithmic and theoretical underpinnings of layer-wise relevance propagation (LRP), apply the method to a complex model trained for the task of visual question answering (VQA), and demonstrate that it produces...

December 2022

Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement

Leander Weber, Wojciech Samek, Alexander Binder, Sebastian Lapuschkin

Explainable Artificial Intelligence (XAI) is an emerging research field bringing transparency to highly complex and opaque machine learning (ML) models. This paper offers a comprehensive overview over techniques that apply XAI practically to...

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