Discrete One-Bit Precoding for Massive MIMO. - Benedikt Fesl; Hela Jedda; Josef A. Nossek (WSA, 2019)

Learning a Low-Complexity Channel Estimator for One-Bit Quantization. - Benedikt Fesl; Michael Koller 001; Nurettin Turan; Wolfgang Utschick (ACSSC, 2020)

A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. - Benedikt Fesl; Nurettin Turan; Michael Koller 001; Wolfgang Utschick (SPAWC, 2021)

Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. - Benedikt Fesl; Nurettin Turan; Michael Koller 001; Michael Joham; Wolfgang Utschick (WSA, 2021)

On Distributional Invariances between Downlink and Uplink MIMO Channels. - Nurettin Turan; Michael Koller 001; Valentina Rizzello; Benedikt Fesl; Samer Bazzi; Wen Xu 001; Wolfgang Utschick (WSA, 2021)

Variational Autoencoder Leveraged MMSE Channel Estimation. - Michael Baur; Benedikt Fesl; Michael Koller 001; Wolfgang Utschick (IEEECONF, 2022)

Channel Estimation based on Gaussian Mixture Models with Structured Covariances. - Benedikt Fesl; Michael Joham; Sha Hu 001; Michael Koller 001; Nurettin Turan; Wolfgang Utschick (IEEECONF, 2022)

GMM-based Codebook Construction and Feedback Encoding in FDD Systems. - Nurettin Turan; Michael Koller 001; Benedikt Fesl; Samer Bazzi; Wen Xu 001; Wolfgang Utschick (IEEECONF, 2022)

An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models. - Michael Koller 001; Benedikt Fesl; Nurettin Turan; Wolfgang Utschick (ICASSP, 2022)

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. - Nurettin Turan; Benedikt Fesl; Moritz Grundei; Michael Koller 001; Wolfgang Utschick (ISWCS, 2022)

An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. - Michael Koller 001; Benedikt Fesl; Nurettin Turan; Wolfgang Utschick (IEEE Trans. Signal Process., 2022)

Low-Rank Structured MMSE Channel Estimation with Mixtures of Factor Analyzers. - Benedikt Fesl; Nurettin Turan; Wolfgang Utschick (ACSSC, 2023)

Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. - Nurettin Turan; Benedikt Fesl; Wolfgang Utschick (ACSSC, 2023)

Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models. - Nurettin Turan; Benedikt Fesl; Benedikt Böck; Michael Joham; Wolfgang Utschick (ISWCS, 2023)

Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems. - Benedikt Fesl; Andreas Faika; Nurettin Turan; Michael Joham; Wolfgang Utschick (SPAWC, 2023)

Leveraging Variational Autoencoders for Parameterized MMSE Channel Estimation. - Michael Baur; Benedikt Fesl; Wolfgang Utschick (CoRR, 2023)

On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. - Benedikt Fesl; Michael Koller 001; Wolfgang Utschick (IEEE Trans. Signal Process., 2023)

Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation. - Benedikt Fesl; Nurettin Turan; Michael Joham; Wolfgang Utschick (IEEE Wirel. Commun. Lett., 2023)

Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. - Michael Baur; Nurettin Turan; Benedikt Fesl; Wolfgang Utschick (ICASSP, 2024)

Enhancing Channel Estimation in Quantized Systems with a Generative Prior. - Benedikt Fesl; Aziz Banna; Wolfgang Utschick (SPAWC, 2024)

Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? - Nurettin Turan; Benedikt Fesl; Michael Joham; Zhengxiang Ma; Baoling Sheen; Weimin Xiao; Anthony C. K. Soong; Wolfgang Utschick (VTC Spring, 2024)

Wireless Channel Prediction via Gaussian Mixture Models. - Nurettin Turan; Benedikt Böck; Kai-Jie Chan; Benedikt Fesl; Friedrich Burmeister; Michael Joham; Gerhard P. Fettweis; Wolfgang Utschick (WSA, 2024)

On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models. - Benedikt Fesl; Benedikt Böck; Florian Strasser; Michael Baur; Michael Joham; Wolfgang Utschick (CoRR, 2024)

Leveraging Variational Autoencoders for Parameterized MMSE Estimation. - Michael Baur; Benedikt Fesl; Wolfgang Utschick (IEEE Trans. Signal Process., 2024)

Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models. - Benedikt Fesl; Nurettin Turan; Benedikt Böck; Wolfgang Utschick (IEEE Trans. Signal Process., 2024)

A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. - Nurettin Turan; Benedikt Fesl; Michael Koller 001; Michael Joham; Wolfgang Utschick (IEEE Trans. Wirel. Commun., 2024)

Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation. - Benedikt Fesl; Michael Baur; Florian Strasser; Michael Joham; Wolfgang Utschick (IEEE Wirel. Commun. Lett., 2024)

On the Asymptotic Mean Square Error Optimality of Diffusion Models. - Benedikt Fesl; Benedikt Böck; Florian Strasser; Michael Baur; Michael Joham; Wolfgang Utschick (AISTATS, 2025)

Addressing Pilot Contamination in Channel Estimation with Variational Autoencoders. - Amar Kasibovic; Benedikt Fesl; Michael Baur; Wolfgang Utschick (ICASSP, 2025)

Linear and Nonlinear MMSE Estimation in One-Bit Quantized Systems Under a Gaussian Mixture Prior. - Benedikt Fesl; Wolfgang Utschick (IEEE Signal Process. Lett., 2025)

Gohberg-Semencul Toeplitz Covariance Estimation via Autoregressive Parameters. - Benedikt Böck; Dominik Semmler; Benedikt Fesl; Michael Baur; Wolfgang Utschick (IEEE Trans. Signal Process., 2025)

A Versatile Pilot Design Scheme for FDD Systems Utilizing Gaussian Mixture Models. - Nurettin Turan; Benedikt Böck; Benedikt Fesl; Michael Joham; Deniz Gündüz; Wolfgang Utschick (IEEE Trans. Wirel. Commun., 2025)