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20222026
most citedDoA-Aided MMSE Channel Estimation for Wireless Communication Systems

1 citations · 2 across the 11 of their papers we have counts for

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eess.SP2026

OTFS Channel Estimation Utilizing Sparse Bayesian Generative Modelling

Louis Anseaume, Benedikt Böck, Franz Weißer +1

One of the key challenges of future wireless communication systems is ensuring reliability in high-speed mobile scenarios, where accurate recovery of channel state information (CSI…

eess.SP2026

Lightweight Beam Index Map Using Coupled Gaussian Mixture Models

Amar Kasibovic, Franz Weißer, Wolfgang Utschick

This paper addresses the beam alignment problem in MIMO systems from a decentralized, mobile terminal (MT)-centric perspective. We propose a lightweight machine learning approach t…

eess.SP2026

Joint Access Point Selection and Precoder Design under Statistical CSI

Tim N. Faisst, Franz Weißer, Wolfgang Utschick

This work addresses joint access point (AP) selection and precoding for sum-rate maximization under statistical channel state information (CSI) in multi-AP multi-user systems. To t…

eess.SP2026

Context-Aware CSI Prediction for Access Point Selection Utilizing Conditional VAEs

Franz Weißer, Amar Kasibovic, Wolfgang Utschick

Indoor wireless communication environments are strongly influenced by dynamic conditions, which affect channel state information (CSI) and, consequently, the precoding strategy and…

eess.SP2025

Semi-Blind Strategies for MMSE Channel Estimation Utilizing Generative Priors

Franz Weißer, Nurettin Turan, Dominik Semmler +2

This paper investigates semi-blind channel estimation for massive multiple-input multiple-output (MIMO) systems. To this end, we first estimate a subspace based on all received sym…

eess.SP2025

On the Asymptotic MSE-Optimality of Parametric Bayesian Channel Estimation in mmWave Systems

Franz Weißer, Wolfgang Utschick

The mean square error (MSE)-optimal estimator is known to be the conditional mean estimator (CME). This paper introduces a parametric channel estimation technique based on Bayesian…

eess.SP2025

Sparse Bayesian Generative Modeling for Joint Parameter and Channel Estimation

Benedikt Böck, Franz Weißer, Michael Baur +1

Leveraging the inherent connection between sensing systems and wireless communications can improve their overall performance and is the core objective of joint communications and s…

eess.SP2023★ 1 cited

DoA-Aided MMSE Channel Estimation for Wireless Communication Systems

Franz Weißer, Nurettin Turan, Wolfgang Utschick

This paper investigates the combination of parametric channel estimation with minimum mean square error (MMSE) estimation. We propose a direction-of-arrival (DoA)-aided two-stage c…

eess.SP2023

Data-Aided Channel Estimation Utilizing Gaussian Mixture Models

Franz Weißer, Nurettin Turan, Dominik Semmler +1

In this work, we propose two methods that utilize data symbols in addition to pilot symbols for improved channel estimation quality in a multi-user system, so-called semi-blind cha…

eess.SP2022

Unsupervised Parameter Estimation using Model-based Decoder

Franz Weißer, Michael Baur, Wolfgang Utschick

In this work, we consider the use of a model-based decoder in combination with an unsupervised learning strategy for direction-of-arrival (DoA) estimation. Relying only on unlabele…

eess.SP2022★ 1 cited

Model Order Selection with Variational Autoencoding

Michael Baur, Franz Weißer, Benedikt Böck +1

Classical methods for model order selection often fail in scenarios with low SNR or few snapshots. Deep learning-based methods are promising alternatives for such challenging situa…