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03/20/2023
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Sionna is a GPU-accelerated open-source library for link-level simulatio...
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07/29/2022
Graph Neural Networks for Channel Decoding
In this work, we propose a fully differentiable graph neural network (GN...
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07/12/2022
Learning Joint Detection, Equalization and Decoding for Short-Packet Communications
We propose and practically demonstrate a joint detection and decoding sc...
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05/22/2022
Deep Learning-Based Synchronization for Uplink NB-IoT
We propose a neural network (NN)-based algorithm for device detection an...
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03/25/2022
Adaptive Neural Network-based OFDM Receivers
We propose and examine the idea of continuously adapting state-of-the-ar...
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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...
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07/27/2021
Iterative Reed-Muller Decoding
Reed-Muller (RM) codes are known for their good maximum likelihood (ML) ...
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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...
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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...
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01/24/2021
On the Automorphism Group of Polar Codes
The automorphism group of a code is the set of permutations of the codew...
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12/14/2020
Automorphism Ensemble Decoding of Reed-Muller Codes
Reed-Muller (RM) codes are known for their good maximum likelihood (ML) ...
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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...
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06/26/2020
Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication
Motivated by the recent success of end-to-end training of communications...
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03/05/2020
WGAN-based Autoencoder Training Over-the-air
The practical realization of end-to-end training of communication system...
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01/15/2020
CRC-Aided Belief Propagation List Decoding of Polar Codes
Although iterative decoding of polar codes has recently made huge progre...
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11/29/2019
Trainable Communication Systems: Concepts and Prototype
We consider a trainable point-to-point communication system, where both ...
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09/26/2019
Deep Learning-based Polar Code Design
In this work, we introduce a deep learning-based polar code construction...
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05/28/2019
Towards Practical Indoor Positioning Based on Massive MIMO Systems
We showcase the practicability of an indoor positioning system (IPS) sol...
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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...
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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 ...
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01/28/2019
Decoder-tailored Polar Code Design Using the Genetic Algorithm
We propose a new framework for constructing polar codes (i.e., selecting...
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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 ...
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01/17/2019
Spatially Coupled LDPC Codes and the Multiple Access Channel
We consider spatially coupled low-density parity-check (SC-LDPC) codes w...
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01/08/2019
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
A major obstacle for widespread deployment of frequency division duplex ...
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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...
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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...
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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...
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06/27/2018
Belief Propagation List Decoding of Polar Codes
We propose a belief propagation list (BPL) decoder with comparable perfo...
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04/13/2018
On Deep Learning-based Massive MIMO Indoor User Localization
We examine the usability of deep neural networks for multiple-input mult...
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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...
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01/12/2018
Belief Propagation Decoding of Polar Codes on Permuted Factor Graphs
We show that the performance of iterative belief propagation (BP) decodi...
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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 ...
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07/11/2017