106 citations · 324 across the 49 of their papers we have counts for
6 papers · 1 filter
Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems
Benedikt Fesl, Andreas Faika, Nurettin Turan +2
We consider channel estimation in systems equipped with a reconfigurable intelligent surface (RIS). In order to illuminate the additional cascaded channel as compared to systems wi…
High SNR Analysis of RIS-Aided MIMO Broadcast Channels
Dominik Semmler, Michael Joham, Wolfgang Utschick
We analyze the influence of a reconfigurable intelligent surface (RIS) on the Gram channel eigenvalues in a high signal-to-noise ratio (SNR) scenario. This allows to connect specif…
Learning Representations for CSI Adaptive Quantization and Feedback
Valentina Rizzello, Matteo Nerini, Michael Joham +2
In this work, we propose an efficient method for channel state information (CSI) adaptive quantization and feedback in frequency division duplexing (FDD) systems. Existing works ma…
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…
Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO
Matteo Nerini, Valentina Rizzello, Michael Joham +2
To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division…
Rate Splitting in FDD Massive MIMO Systems Based on the Second Order Statistics of Transmission Channels
Donia Ben Amor, Michael Joham, Wolfgang Utschick
In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system o…