Sebastian Cammerer

research

∙ 03/20/2023

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Sionna is a GPU-accelerated open-source library for link-level simulatio...

0 Jakob Hoydis, et al. ∙

research

∙ 07/29/2022

Graph Neural Networks for Channel Decoding

In this work, we propose a fully differentiable graph neural network (GN...

0 Sebastian Cammerer, et al. ∙

research

∙ 07/12/2022

Learning Joint Detection, Equalization and Decoding for Short-Packet Communications

We propose and practically demonstrate a joint detection and decoding sc...

0 Sebastian Dörner, et al. ∙

research

∙ 05/22/2022

Deep Learning-Based Synchronization for Uplink NB-IoT

We propose a neural network (NN)-based algorithm for device detection an...

0 Fayçal Ait Aoudia, et al. ∙

research

∙ 03/25/2022

Adaptive Neural Network-based OFDM Receivers

We propose and examine the idea of continuously adapting state-of-the-ar...

0 Moritz Benedikt Fischer, et al. ∙

research

∙ 03/22/2022

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Sionna is a GPU-accelerated open-source library for link-level simulatio...

0 Jakob Hoydis, et al. ∙

research

∙ 07/27/2021

Iterative Reed-Muller Decoding

Reed-Muller (RM) codes are known for their good maximum likelihood (ML) ...

0 Marvin Geiselhart, et al. ∙

research

∙ 04/29/2021

Serial vs. Parallel Turbo-Autoencoders and Accelerated Training for Learned Channel Codes

Attracted by its scalability towards practical codeword lengths, we revi...

0 Jannis Clausius, et al. ∙

research

∙ 02/05/2021

Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications

We compare the potential of neural network (NN)-based channel estimation...

0 Moritz Benedikt Fischer, et al. ∙

research

∙ 01/24/2021

On the Automorphism Group of Polar Codes

The automorphism group of a code is the set of permutations of the codew...

0 Marvin Geiselhart, et al. ∙

research

∙ 12/14/2020

Automorphism Ensemble Decoding of Reed-Muller Codes

Reed-Muller (RM) codes are known for their good maximum likelihood (ML) ...

0 Marvin Geiselhart, et al. ∙

research

∙ 12/02/2020

Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels

We consider the usage of finite-length polar codes for the Gaussian mult...

0 Moustafa Ebada, et al. ∙

research

∙ 06/26/2020

Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication

Motivated by the recent success of end-to-end training of communications...

0 Tim Uhlemann, et al. ∙

research

∙ 03/05/2020

WGAN-based Autoencoder Training Over-the-air

The practical realization of end-to-end training of communication system...

0 Sebastian Dörner, et al. ∙

research

∙ 01/15/2020

CRC-Aided Belief Propagation List Decoding of Polar Codes

Although iterative decoding of polar codes has recently made huge progre...

0 Marvin Geiselhart, et al. ∙

research

∙ 11/29/2019

Trainable Communication Systems: Concepts and Prototype

We consider a trainable point-to-point communication system, where both ...

0 Sebastian Cammerer, et al. ∙

research

∙ 09/26/2019

Deep Learning-based Polar Code Design

In this work, we introduce a deep learning-based polar code construction...

0 Moustafa Ebada, et al. ∙

research

∙ 05/28/2019

Towards Practical Indoor Positioning Based on Massive MIMO Systems

We showcase the practicability of an indoor positioning system (IPS) sol...

0 Mark Widmaier, et al. ∙

research

∙ 05/24/2019

On Recurrent Neural Networks for Sequence-based Processing in Communications

In this work, we analyze the capabilities and practical limitations of n...

0 Daniel Tandler, et al. ∙

research

∙ 03/07/2019

Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design

Low-Density Parity-Check (LDPC) code design tools typically rely on the ...

0 Ahmed Elkelesh, et al. ∙

research

∙ 01/28/2019

Decoder-tailored Polar Code Design Using the Genetic Algorithm

We propose a new framework for constructing polar codes (i.e., selecting...

0 Ahmed Elkelesh, et al. ∙

research

∙ 01/19/2019

Genetic Algorithm-based Polar Code Construction for the AWGN Channel

We propose a new polar code construction framework (i.e., selecting the ...

0 Ahmed Elkelesh, et al. ∙

research

∙ 01/17/2019

Spatially Coupled LDPC Codes and the Multiple Access Channel

We consider spatially coupled low-density parity-check (SC-LDPC) codes w...

0 Sebastian Cammerer, et al. ∙

research

∙ 01/08/2019

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction

A major obstacle for widespread deployment of frequency division duplex ...

0 Maximilian Arnold, et al. ∙

research

∙ 11/27/2018

Near Gaussian Multiple Access Channel Capacity Detection and Decoding

We consider the design of low-density parity-check (LDPC) codes with clo...

0 Xiaojie Wang, et al. ∙

research

∙ 10/02/2018

Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes

In this work, we analyze efficient window shift schemes for windowed dec...

0 Kevin Klaiber, et al. ∙

research

∙ 07/02/2018

Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes

We demonstrate that error correcting codes (ECCs) can be used to constru...

0 Stefan Schibisch, et al. ∙

research

∙ 06/27/2018

Belief Propagation List Decoding of Polar Codes

We propose a belief propagation list (BPL) decoder with comparable perfo...

0 Ahmed Elkelesh, et al. ∙

research

∙ 04/13/2018

On Deep Learning-based Massive MIMO Indoor User Localization

We examine the usability of deep neural networks for multiple-input mult...

0 Maximilian Arnold, et al. ∙

research

∙ 03/15/2018

OFDM-Autoencoder for End-to-End Learning of Communications Systems

We extend the idea of end-to-end learning of communications systems thro...

0 Alexander Felix, et al. ∙

research

∙ 01/12/2018

Belief Propagation Decoding of Polar Codes on Permuted Factor Graphs

We show that the performance of iterative belief propagation (BP) decodi...

0 Ahmed Elkelesh, et al. ∙

research

∙ 12/22/2017

Sparse Graphs for Belief Propagation Decoding of Polar Codes

We describe a novel approach to interpret a polar code as a low-density ...

0 Sebastian Cammerer, et al. ∙

research

∙ 07/11/2017

Deep Learning-Based Communication Over the Air

End-to-end learning of communications systems is a fascinating novel con...

0 Sebastian Dörner, et al. ∙

Sebastian Cammerer

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