Triggering Wave-Like Convergence of Tail-biting Spatially Coupled LDPC Codes: Single and Dual-Channel Setup. - Sebastian Cammerer; Vahid Aref; Laurent Schmalen; Stephan ten Brink (CoRR, 2015)

Triggering wave-like convergence of tail-biting spatially coupled LDPC codes. - Sebastian Cammerer; Vahid Aref; Laurent Schmalen; Stephan ten Brink (CISS, 2016)

Wave-like decoding of tail-biting spatially coupled LDPC codes through iterative demapping. - Sebastian Cammerer; Laurent Schmalen; Vahid Aref; Stephan ten Brink (ISTC, 2016)

Improving Belief Propagation decoding of polar codes using scattered EXIT charts. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (ITW, 2016)

Flexible Length Polar Codes through Graph Based Augmentation. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (CoRR, 2016)

On deep learning-based channel decoding. - Tobias Gruber; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (CISS, 2017)

Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning. - Sebastian Cammerer; Tobias Gruber; Jakob Hoydis; Stephan ten Brink (GLOBECOM, 2017)

Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform. - Sebastian Cammerer; Benedikt Leible; Matthias Stahl; Jakob Hoydis; Stephan ten Brink (ICASSP, 2017)

Mitigating clipping effects on error floors under belief propagation decoding of polar codes. - Ahmed Elkelesh; Sebastian Cammerer; Moustafa Ebada; Stephan ten Brink (ISWCS, 2017)

Scattered EXIT Charts for Finite Length LDPC Code Design. - Moustafa Ebada; Ahmed Elkelesh; Sebastian Cammerer; Stephan ten Brink (ICC, 2018)

Sparse Graphs for Belief Propagation Decoding of Polar Codes. - Sebastian Cammerer; Moustafa Ebada; Ahmed Elkelesh; Stephan ten Brink (ISIT, 2018)

Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes. - Kevin Klaiber; Sebastian Cammerer; Laurent Schmalen; Stephan ten Brink (ISTC, 2018)

Near Gaussian Multiple Access Channel Capacity Detection and Decoding. - Xiaojie Wang 002; Sebastian Cammerer; Stephan ten Brink (ISTC, 2018)

Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. - Stefan Schibisch; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (ISWCS, 2018)

On Deep Learning-Based Massive MIMO Indoor User Localization. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (SPAWC, 2018)

OFDM-Autoencoder for End-to-End Learning of Communications Systems. - Alexander Felix; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (SPAWC, 2018)

Belief propagation decoding of polar codes on permuted factor graphs. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (WCNC, 2018)

Belief Propagation List Decoding of Polar Codes. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (IEEE Commun. Lett., 2018)

Deep Learning Based Communication Over the Air. - Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (IEEE J. Sel. Top. Signal Process., 2018)

Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (ACSSC, 2019)

On Recurrent Neural Networks for Sequence-based Processing in Communications. - Daniel Tandler; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (ACSSC, 2019)

Deep Learning-Based Polar Code Design. - Moustafa Ebada; Sebastian Cammerer; Ahmed Elkelesh; Stephan ten Brink (Allerton, 2019)

Spatially Coupled LDPC Codes and the Multiple Access Channel. - Sebastian Cammerer; Xiaojie Wang 002; Yingyan Ma; Stephan ten Brink (CISS, 2019)

Towards Practical Indoor Positioning Based on Massive MIMO Systems. - Mark Widmaier; Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (VTC Fall, 2019)

Decoder-in-the-Loop: Genetic Optimization- Based LDPC Code Design. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Laurent Schmalen; Stephan ten Brink (IEEE Access, 2019)

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Sarah Yan; Jakob Hoydis; Stephan ten Brink (CoRR, 2019)

Genetic Algorithm-based Polar Code Construction for the AWGN Channel. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (CoRR, 2019)

Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (CoRR, 2019)

Decoder-Tailored Polar Code Design Using the Genetic Algorithm. - Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (IEEE Trans. Commun., 2019)

Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels. - Xiaojie Wang 002; Sebastian Cammerer; Stephan ten Brink (IEEE Trans. Commun., 2019)

Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels. - Moustafa Ebada; Sebastian Cammerer; Ahmed Elkelesh; Marvin Geiselhart; Stephan ten Brink (ACSSC, 2020)

CRC-Aided Belief Propagation List Decoding of Polar Codes. - Marvin Geiselhart; Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (ISIT, 2020)

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. - Fayçal Ait Aoudia; Sebastian Cammerer; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (SiPS, 2020)

Reducing Polar Decoding Latency by Neural Network-Based On-the-Fly Decoder Selection. - Ahmed Elkelesh; Sebastian Cammerer; Stephan ten Brink (SiPS, 2020)

WGAN-based Autoencoder Training Over-the-air. - Sebastian Dörner; Marcus Henninger; Sebastian Cammerer; Stephan ten Brink (SPAWC, 2020)

Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication. - Tim Uhlemann; Sebastian Cammerer; Alexander Span; Sebastian Dörner; Stephan ten Brink (CoRR, 2020)

Trainable Communication Systems: Concepts and Prototype. - Sebastian Cammerer; Fayçal Ait Aoudia; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (IEEE Trans. Commun., 2020)

On the Automorphism Group of Polar Codes. - Marvin Geiselhart; Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (ISIT, 2021)

Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes. - Jannis Clausius; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (ISTC, 2021)

Iterative Reed-Muller Decoding. - Marvin Geiselhart; Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (ISTC, 2021)

Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications. - Moritz Benedikt Fischer; Sebastian Dörner; Sebastian Cammerer; Takayuki Shimizu; Bin Cheng 002; Hongsheng Lu; Stephan ten Brink (IV, 2021)

Automorphism Ensemble Decoding of Reed-Muller Codes. - Marvin Geiselhart; Ahmed Elkelesh; Moustafa Ebada; Sebastian Cammerer; Stephan ten Brink (IEEE Trans. Commun., 2021)

Trainable communication systems. - Sebastian Cammerer (2021)

Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks. - M. Hossein Attar; Kaixin Chang; Ramez Askar; Slawomir Stanczak; Sebastian Cammerer; Guillermo Marcus; Alexander Keller 001 (IEEECONF, 2022)

Adaptive NN-based OFDM Receivers: Computational Complexity vs. Achievable Performance. - Moritz Benedikt Fischer; Sebastian Dörner; Felix Krieg; Sebastian Cammerer; Stephan ten Brink (IEEECONF, 2022)

Deep Learning-Based Synchronization for Uplink NB-IoT. - Fayçal Aït Aoudia; Jakob Hoydis; Sebastian Cammerer; Matthijs Van Keirsbilck; Alexander Keller 001 (GLOBECOM, 2022)

Graph Neural Networks for Channel Decoding. - Sebastian Cammerer; Jakob Hoydis; Fayçal Aït Aoudia; Alexander Keller 001 (GLOBECOM (Workshops), 2022)

On End-to-End Learning of Joint Detection and Decoding for Short-Packet Communications. - Jannis Clausius; Sebastian Dörner; Sebastian Cammerer; Stephan ten Brink (GLOBECOM (Workshops), 2022)

Adaptive Neural Network-based OFDM Receivers. - Moritz Benedikt Fischer; Sebastian Dörner; Sebastian Cammerer; Takayuki Shimizu; Hongsheng Lu; Stephan ten Brink (SPAWC, 2022)

Sionna: An Open-Source Library for Next-Generation Physical Layer Research. - Jakob Hoydis; Sebastian Cammerer; Fayçal Ait Aoudia; Avinash Vem; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (CoRR, 2022)

A Neural Receiver for 5G NR Multi-User MIMO. - Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Andreas Oeldemann; Andreas Roessler; Timo Mayer; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. - Jakob Hoydis; Fayçal Ait Aoudia; Sebastian Cammerer; Merlin Nimier-David; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Learning Radio Environments by Differentiable Ray Tracing. - Jakob Hoydis; Fayçal Aït Aoudia; Sebastian Cammerer; Florian Euchner; Merlin Nimier-David; Stephan ten Brink; Alexander Keller 001 (CoRR, 2023)

Learning Joint Detection, Equalization and Decoding for Short-Packet Communications. - Sebastian Dörner; Jannis Clausius; Sebastian Cammerer; Stephan ten Brink (IEEE Trans. Commun., 2023)

Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes. - Anqi Gong; Sebastian Cammerer; Joseph M. Renes (ISIT, 2024)

Toward Low-latency Iterative Decoding of QLDPC Codes Under Circuit-Level Noise. - Anqi Gong; Sebastian Cammerer; Joseph M. Renes (CoRR, 2024)

Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR. - Reinhard Wiesmayr; Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Jakub Zakrzewski 003; Alexander Keller 001 (CoRR, 2024)

Sionna RT: Technical Report. - Fayçal Aït Aoudia; Jakob Hoydis; Merlin Nimier-David; Sebastian Cammerer; Alexander Keller 001 (CoRR, 2025)

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN. - Sebastian Cammerer; Guillermo Marcus; Tobias Zirr; Fayçal Aït Aoudia; Lorenzo Maggi; Jakob Hoydis; Alexander Keller 001 (CoRR, 2025)