Benedikt Fesl

Orcid: 0000-0002-1431-5885

According to our database¹, Benedikt Fesl authored at least 29 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., June, 2024

Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Leveraging Variational Autoencoders for Parameterized MMSE Estimation.

[BibT_eX]

[DOI]

Michael Baur

Benedikt Fesl

Wolfgang Utschick

IEEE Trans. Signal Process., 2024

A Versatile Pilot Design Scheme for FDD Systems Utilizing Gaussian Mixture Models.

[BibT_eX]

[DOI]

CoRR, 2024

Linear and Nonlinear MMSE Estimation in One-Bit Quantized Systems under a Gaussian Mixture Prior.

[BibT_eX]

[DOI]

Benedikt Fesl

Wolfgang Utschick

CoRR, 2024

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2024

Wireless Channel Prediction via Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 27th International Workshop on Smart Antennas, 2024

Limited Feedback on Measurements: Sharing a Codebook or a Generative Model?

[BibT_eX]

[DOI]

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Enhancing Channel Estimation in Quantized Systems with a Generative Prior.

[BibT_eX]

[DOI]

Benedikt Fesl

Aziz Banna

Wolfgang Utschick

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2023

On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems.

[BibT_eX]

[DOI]

Benedikt Fesl

Michael Koller

Wolfgang Utschick

IEEE Trans. Signal Process., 2023

Leveraging Variational Autoencoders for Parameterized MMSE Channel Estimation.

[BibT_eX]

[DOI]

Michael Baur

Benedikt Fesl

Wolfgang Utschick

CoRR, 2023

Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling.

[BibT_eX]

[DOI]

Nurettin Turan

Benedikt Fesl

Wolfgang Utschick

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Low-Rank Structured MMSE Channel Estimation with Mixtures of Factor Analyzers.

[BibT_eX]

[DOI]

Benedikt Fesl

Nurettin Turan

Wolfgang Utschick

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

GMM-based Codebook Construction and Feedback Encoding in FDD Systems.

[BibT_eX]

[DOI]

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

Channel Estimation based on Gaussian Mixture Models with Structured Covariances.

[BibT_eX]

[DOI]

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

Variational Autoencoder Leveraged MMSE Channel Estimation.

[BibT_eX]

[DOI]

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

2021

On Distributional Invariances between Downlink and Uplink MIMO Channels.

[BibT_eX]

[DOI]

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

Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data.

[BibT_eX]

[DOI]

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

A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020

Learning a Low-Complexity Channel Estimator for One-Bit Quantization.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Discrete One-Bit Precoding for Massive MIMO.

[BibT_eX]

[DOI]

Benedikt Fesl

Hela Jedda

Josef A. Nossek

Proceedings of the 23rd International ITG Workshop on Smart Antennas, 2019

Benedikt Fesl

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