5 papers
Leveraging Variational Autoencoders for Parameterized MMSE Estimation
Michael Baur, Benedikt Fesl, Wolfgang Utschick
In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoen…
High-SNR Comparison of Linear Precoding and DPC in RIS-Aided MIMO Broadcast Channels
Dominik Semmler, Benedikt Fesl, Michael Joham +1
We compare dirty paper coding (DPC) and linear precoding methods in a reconfigurable intelligent surface (RIS)- aided high-signal-to-noise ratio (SNR) scenario, where the channel b…
Design of a Multi-User RIS-Aided System with Statistical Channel Knowledge
Sadaf Syed, Dominik Semmler, Donia Ben Amor +2
Reconfigurable intelligent surface (RIS) is a promising technology to enhance the spectral and energy efficiency in a wireless communication system. The design of the phase shifts…
Enhancing Channel Estimation in Quantized Systems with a Generative Prior
Benedikt Fesl, Aziz Banna, Wolfgang Utschick
Channel estimation in quantized systems is challenging, particularly in low-resolution systems. In this work, we propose to leverage a Gaussian mixture model (GMM) as generative pr…
DoA-Aided MMSE Channel Estimation for Wireless Communication Systems
Franz WeiÃer, 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…