Benedikt Fesl

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Speaker Recognition

Channel Estimation

Maximum Likelihood

Communication Systems

Top Venues

IEEE Trans. Signal Process.

Publications

Nurettin Turan, Benedikt Fesl, Michael Joham, Zhengxiang Ma, Anthony C. K. Soong, Baoling Sheen, Weimin Xiao, Wolfgang Utschick
Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? CoRR (2024)
Benedikt Fesl, Wolfgang Utschick
Linear and Nonlinear MMSE Estimation in One-Bit Quantized Systems under a Gaussian Mixture Prior. CoRR (2024)
Benedikt Fesl, Nurettin Turan, Benedikt Böck, Wolfgang Utschick
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models. IEEE Trans. Signal Process. 72 (2024)
Nurettin Turan, Benedikt Böck, Kai-Jie Chan, Benedikt Fesl, Friedrich Burmeister, Michael Joham, Gerhard P. Fettweis, Wolfgang Utschick
Wireless Channel Prediction via Gaussian Mixture Models. WSA (2024)
Benedikt Fesl, Benedikt Böck, Florian Strasser, Michael Baur, Michael Joham, Wolfgang Utschick
On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models. CoRR (2024)
Benedikt Fesl, Aziz Banna, Wolfgang Utschick
Enhancing Channel Estimation in Quantized Systems with a Generative Prior. CoRR (2024)
Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. ICASSP (2024)
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Benedikt Fesl, Michael Baur, Florian Strasser, Michael Joham, Wolfgang Utschick
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation. CoRR (2024)
Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick
Learning a Gaussian Mixture Model from Imperfect Training Data for Robust Channel Estimation. CoRR (2023)
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. CoRR (2023)
Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick
Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation. IEEE Wirel. Commun. Lett. 12 (6) (2023)
Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
Low-Rank Structured MMSE Channel Estimation with Mixtures of Factor Analyzers. ACSSC (2023)
Benedikt Fesl, Andreas Faika, Nurettin Turan, Michael Joham, Wolfgang Utschick
Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems. SPAWC (2023)
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. CoRR (2023)
Michael Baur, Benedikt Fesl, Wolfgang Utschick
Leveraging Variational Autoencoders for Parameterized MMSE Channel Estimation. CoRR (2023)
Benedikt Fesl, Michael Koller, Wolfgang Utschick
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. IEEE Trans. Signal Process. 71 (2023)
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. ACSSC (2023)
Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. CoRR (2023)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models. ICASSP (2022)
Benedikt Fesl, Michael Koller, Wolfgang Utschick
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. CoRR (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. ISWCS (2022)
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
Variational Autoencoder Leveraged MMSE Channel Estimation. IEEECONF (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. IEEECONF (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. CoRR (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. IEEECONF (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. IEEE Trans. Signal Process. 70 (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. CoRR (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. CoRR (2022)
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
Variational Autoencoder Leveraged MMSE Channel Estimation. CoRR (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. CoRR (2021)
Nurettin Turan, Michael Koller, Valentina Rizzello, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
On Distributional Invariances between Downlink and Uplink MIMO Channels. WSA (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. WSA (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. CoRR (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. CoRR (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. SPAWC (2021)
Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick
Learning a Low-Complexity Channel Estimator for One-Bit Quantization. ACSSC (2020)
Benedikt Fesl, Hela Jedda, Josef A. Nossek
Discrete One-Bit Precoding for Massive MIMO. WSA (2019)