← Search

Benedikt Fesl

4 accepted papers

2025

Addressing Pilot Contamination in Channel Estimation with Variational Autoencoders

ICASSP 2025accepted

Pilot contamination (PC) is a well-known problem that affects massive multiple-input multiple-output (MIMO) systems. When frequency and pilots are reused between different cells, PC constitutes one of the main bottlenecks of the system's performance. In this paper, we propose a method based on the v…

Cited by 1SourceScholar
2025

On the Asymptotic Mean Square Error Optimality of Diffusion Models

AISTATS 2025poster

Diffusion models (DMs) as generative priors have recently shown great potential for denoising tasks but lack theoretical understanding with respect to their mean square error (MSE) optimality. This paper proposes a novel denoising strategy inspired by the structure of the MSE-optimal conditional mea…

Cited by 0SourcecodeScholar
2024

Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders

ICASSP 2024accepted

In this work, we propose to utilize a variational autoencoder (VAE) for channel estimation (CE) in underdetermined (UD) systems. The basis of the method forms a recently proposed concept in which a VAE is trained on channel state information (CSI) data and used to parameterize an approximation to th…

Cited by 10SourceScholar
2022

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

ICASSP 2022accepted

This paper investigates a channel estimator based on Gaussian mixture models (GMMs). We fit a GMM to given channel samples to obtain an analytic probability density function (PDF) which approximates the true channel PDF. Then, a conditional mean estimator (CME) corresponding to this approximating PD…

Cited by 0SourceScholar