activity
20112026
most citedDeep Learning-Based Communication Over the Air

887 citations · 1.2k across the 50 of their papers we have counts for

collaborators

54 papers

eess.SP2026

Visualizing Wireless Propagation and Polarization in Augmented Reality with ESPARGOS

Florian Euchner, Stephan ten Brink

Wireless multipath propagation, beamforming, and polarization are central concepts in radio systems, but they are difficult to observe directly because radio-frequency fields are i…

cs.IT2026

When to Stop? Dynamic Early Termination of Sequential Ensembles

Paul Bezner, Felix Krieg, Stephan ten Brink

Ordered-statistics decoding (OSD) post-processing substantially improves the performance of belief propagation (BP) ensembles, but it also removes their natural syndrome-based stop…

cs.IT2026

SECS: A Soft Ensemble-Combining Stage for Low-Latency Decoding

Felix Krieg, Paul Bezner, Stephan ten Brink

Ensemble decoding is a promising technique for ultra-reliable low-latency communication, as it trades hardware parallelism for decoding latency by running M diverse belief propagat…

cs.IT2026

Row-Boosted Ensemble Belief Propagation for Short LDPC Codes

Paul Bezner, Felix Krieg, Stephan ten Brink

Belief-propagation (BP) decoding of short and moderate-length low-density parity-check (LDPC) codes is limited by finite-length graph effects: a single decoder trajectory can becom…

cs.IT2026

Auxiliary Nodes for BP Decoding of Quantum LDPC Codes

Daniel Tandler, Paul Bezner, Stephan ten Brink

Many recently proposed Calderbank-Shor-Steane (CSS) quantum low-density parity-check (QLDPC) codes have sparse decoding graphs, enabling syndrome-based belief propagation (BP) deco…

eess.SP2026

BASIIS: Bistatic Angular Sampling and Interpolation for ISAC Setups

Alexander Felix, Marcus Henninger, Lucas Giroto +3

Integrated Sensing and Communications (ISAC) is a defining feature of 6G, extending cellular networks with radar-like sensing at limited additional overhead. In bistatic deployment…

cs.IT2026

Chase-like Decoding: Test-Pattern Design and Performance Analysis

Tim Janz, Simon Obermüller, Andreas Zunker +1

Chase-like decoding algorithms are a popular choice for soft-input decoding of algebraic codes. We evaluate different test-pattern sets for Chase-like decoding. Structured sets, su…

cs.IT2025

Signal Space-Transformed Expectation Propagation for Symbol Detection in ISI Channels

Jannis Clausius, Luca Schmid, Laurent Schmalen +1

Iterative message passing detection based on expectation propagation (EP) has demonstrated near-optimum performance in many signal processing and communication scenarios. The metho…

cs.IT2024

Leveraging the Doppler Effect for Channel Charting

Florian Euchner, Phillip Stephan, Stephan ten Brink

Channel Charting is a dimensionality reduction technique that reconstructs a map of the radio environment from similarity relationships found in channel state information. Distance…

cs.IT2024

GAN-based Massive MIMO Channel Model Trained on Measured Data

Florian Euchner, Janina Sanzi, Marcus Henninger +1

Wireless channel models are a commonly used tool for the development of wireless telecommunication systems and standards. The currently prevailing geometry-based stochastic channel…

eess.SP2024

CRAP Part II: Clutter Removal with Continuous Acquisitions Under Phase Noise

Marcus Henninger, Silvio Mandelli, Artjom Grudnitsky +1

The mitigation of clutter is an important research branch in Integrated Sensing and Communication (ISAC), one of the emerging technologies of future cellular networks. In this work…

eess.SP2024

Antenna Array Design for Mono-Static ISAC

Alexander Felix, Silvio Mandelli, Marcus Henninger +1

Mono-static sensing operations in ISAC perform joint beamforming between transmitter and receiver. However, in contrast to pure radar systems, ISAC requires to fulfill communicatio…

cs.IT2024★ 1 cited

Graph Neural Network-based Joint Equalization and Decoding

Jannis Clausius, Marvin Geiselhart, Daniel Tandler +1

This paper proposes to use graph neural networks (GNNs) for equalization, that can also be used to perform joint equalization and decoding (JED). For equalization, the GNN is build…

cs.IT2024

Deep Learning Based Adaptive Joint mmWave Beam Alignment

Daniel Tandler, Marc Gauger, Ahmet Serdar Tan +2

The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam alignment strategies with…

cs.IT2023★ 1 cited

Row-Merged Polar Codes: Analysis, Design and Decoder Implementation

Andreas Zunker, Marvin Geiselhart, Lucas Johannsen +4

Row-merged polar codes are a family of pre-transformed polar codes (PTPCs) with little precoding overhead. Providing an improved distance spectrum over plain polar codes, they are…

cs.IT2023

Augmenting Channel Charting with Classical Wireless Source Localization Techniques

Florian Euchner, Phillip Stephan, Stephan ten Brink

Channel Charting aims to construct a map of the radio environment by leveraging similarity relationships found in high-dimensional channel state information. Although resulting cha…

cs.IT2023★ 1 cited

Learning Radio Environments by Differentiable Ray Tracing

Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer +4

Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and environment-specific channel impulse responses (CIRs). While acquiring accurate scene…

cs.IT2023★ 11 cited

Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection

Andreas Zunker, Marvin Geiselhart, Stephan ten Brink

Pre-transformed polar codes (PTPCs) form a class of codes that perform close to the finite-length capacity bounds. The minimum distance and the number of minimum weight codewords a…

cs.IT2023

Angle-Delay Profile-Based and Timestamp-Aided Dissimilarity Metrics for Channel Charting

Phillip Stephan, Florian Euchner, Stephan ten Brink

Channel charting is a self-supervised learning technique whose objective is to reconstruct a map of the radio environment, called channel chart, by taking advantage of similarity r…

cs.IT2023

Successive Cancellation Automorphism List Decoding of Polar Codes

Lucas Johannsen, Claus Kestel, Marvin Geiselhart +3

The discovery of suitable automorphisms of polar codes gained a lot of attention by applying them in Automorphism Ensemble Decoding (AED) to improve the error-correction performanc…

eess.SP2023

Multi-Target Localization in Multi-Static Integrated Sensing and Communication Deployments

Maximilian Bauhofer, Silvio Mandelli, Marcus Henninger +2

In future wireless communication networks, existing active localization will gradually evolve into more sophisticated (passive) sensing functionalities. One main enabler for this p…

eess.SP2023

CRAP: Clutter Removal with Acquisitions Under Phase Noise

Marcus Henninger, Silvio Mandelli, Artjom Grudnitsky +2

The emergence of Integrated Sensing and Communication (ISAC) in future 6G networks comes with a variety of challenges to be solved. One of those is clutter removal, which should be…

cs.IT2023

Component Training of Turbo Autoencoders

Jannis Clausius, Marvin Geiselhart, Stephan ten Brink

Isolated training with Gaussian priors (TGP) of the component autoencoders of turbo-autoencoder architectures enables faster, more consistent training and better generalization to…

cs.IT2023

Phase-Equivariant Polar Coded Modulation

Marvin Geiselhart, Marc Gauger, Felix Krieg +2

For short-packet, low-latency communications over random access channels, piloting overhead significantly reduces spectral efficiency. Therefore, pilotless systems recently gained…