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20212023
most citedAn Asymptotically MSE-Optimal Estimator based on Gaussian Mixture Models

46 citations · 151 across the 13 of their papers we have counts for

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cs.IT2022★ 29 cited

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

Benedikt Fesl, Michael Koller, Wolfgang Utschick

This paper investigates the mean square error (MSE)-optimal conditional mean estimator (CME) in one-bit quantized systems in the context of channel estimation with jointly Gaussian…

cs.IT2022

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

Nurettin Turan, Benedikt Fesl, Moritz Grundei +2

In this work, we use real-world data in order to evaluate and validate a machine learning (ML)-based algorithm for physical layer functionalities. Specifically, we apply a recently…

cs.IT2022

GMM-based Codebook Construction and Feedback Encoding in FDD Systems

Nurettin Turan, Michael Koller, Benedikt Fesl +3

We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a G…

eess.SP2022★ 27 cited

Variational Autoencoder Leveraged MMSE Channel Estimation

Michael Baur, Benedikt Fesl, Michael Koller +1

We propose to utilize a variational autoencoder (VAE) for data-driven channel estimation. The underlying true and unknown channel distribution is modeled by the VAE as a conditiona…

cs.IT2022★ 23 cited

Channel Estimation based on Gaussian Mixture Models with Structured Covariances

Benedikt Fesl, Michael Joham, Sha Hu +3

In this work, we propose variations of a Gaussian mixture model (GMM) based channel estimator that was recently proven to be asymptotically optimal in the minimum mean square error…