Sebastian Dörner

Orcid: 0000-0003-4396-1082

According to our database¹, Sebastian Dörner authored at least 28 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Deep Learning based Adaptive Joint mmWave Beam Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

On the Implementation of Neural Network-based OFDM Receivers.

[BibT_eX]

[DOI]

Moritz Benedikt Fischer

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Commun., February, 2023

Learning to communicate: machine learning for the air interface.

[BibT_eX]

[DOI]

Sebastian Dörner

PhD thesis, 2023

Deep Reinforcement Learning for mmWave Initial Beam Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Introducing γ-lifting for Learning Nonlinear Pulse Shaping in Coherent Optical Communication.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Neural Network-based OFDM Receivers.

[BibT_eX]

[DOI]

Moritz Benedikt Fischer

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

On End-to-End Learning of Joint Detection and Decoding for Short-Packet Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom 2022 Workshops, 2022

FPGA-based Trainable Autoencoder for Communication Systems.

[BibT_eX]

[DOI]

Jonas Ney

Sebastian Dörner

Matthias Herrmann

Mohammad Hassani Sadi

Jannis Clausius

Stephan ten Brink

Norbert Wehn

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

Adaptive NN-based OFDM Receivers: Computational Complexity vs. Achievable Performance.

[BibT_eX]

[DOI]

Moritz Benedikt Fischer

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

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

[BibT_eX]

[DOI]

Moritz Benedikt Fischer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Bit-wise Autoencoder for Multiple Antenna Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 11th International Symposium on Topics in Coding, 2021

2020

Trainable Communication Systems: Concepts and Prototype.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2020

Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication.

[BibT_eX]

[DOI]

CoRR, 2020

WGAN-based Autoencoder Training Over-the-air.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

2019

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Practical Indoor Positioning Based on Massive MIMO Systems.

[BibT_eX]

[DOI]

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

On Recurrent Neural Networks for Sequence-based Processing in Communications.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

On Deep Learning-Based Massive MIMO Indoor User Localization.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

2017

On deep learning-based communication over the air.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Sebastian Dörner

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...