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02/17/2023
Deep Reinforcement Learning for mmWave Initial Beam Alignment
We investigate the applicability of deep reinforcement learning algorith...
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09/22/2022
Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements
When operating massive multiple-input multiple-output (MIMO) systems wit...
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07/13/2022
Introducing γ-lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication
Pulse shaping for coherent optical fiber communication has been an activ...
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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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06/30/2022
A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning
A distributed massive MIMO channel sounder for acquiring large CSI datas...
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06/20/2022
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements
The objective of channel charting is to learn a virtual map of the radio...
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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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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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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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11/29/2019
Trainable Communication Systems: Concepts and Prototype
We consider a trainable point-to-point communication system, where both ...
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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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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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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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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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07/11/2017