Benedikt Fesl

Orcid: 0000-0002-1431-5885

According to our database1, Benedikt Fesl authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models.
IEEE Trans. Signal Process., 2024

Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation.
CoRR, 2024

On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models.
CoRR, 2024

Limited Feedback on Measurements: Sharing a Codebook or a Generative Model?
CoRR, 2024

2023
Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation.
IEEE Wirel. Commun. Lett., 2023

On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems.
IEEE Trans. Signal Process., 2023

Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders.
CoRR, 2023

Leveraging Variational Autoencoders for Parameterized MMSE Channel Estimation.
CoRR, 2023

A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.
CoRR, 2023

Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling.
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.
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.
IEEE Trans. Signal Process., 2022

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

GMM-based Codebook Construction and Feedback Encoding in FDD Systems.
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.
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.
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.
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.
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.
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.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Discrete One-Bit Precoding for Massive MIMO.
Proceedings of the 23rd International ITG Workshop on Smart Antennas, 2019


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