154 citations · 682 across the 36 of their papers we have counts for
12 papers · 1 filter
Transfer Learning Capabilities of Untrained Neural Networks for MIMO CSI Recreation
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Machine learning (ML) applications for wireless communications have gained momentum on the standardization discussions for 5G advanced and beyond. One of the biggest challenges for…
Machine Learning for CSI Recreation Based on Prior Knowledge
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Knowledge of channel state information (CSI) is fundamental to many functionalities within the mobile wireless communications systems. With the advance of machine learning (ML) and…
Compressed Sensing Constant Modulus Constrained Projection Matrix Design and High-Resolution DoA Estimation Methods
Khaled Ardah, Martin Haardt
This paper proposes a compressed sensing-based high-resolution direction-of-arrival estimation method called gradient orthogonal matching pursuit (GOMP). It contains two main steps…
Robust Multi-dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE)
Alexey A. Korobkov, Marina K. Diugurova, Jens Haueisen +1
The efficient estimation of an approximate model order is very important for real applications with multi-dimensional data if the observed low-rank data is corrupted by additive no…
Double-RIS Versus Single-RIS Aided Systems: Tensor-Based MIMO Channel Estimation and Design Perspectives
Khaled Ardah, Sepideh Gherekhloo, André L. F. de Almeida +1
Reconfigurable intelligent surfaces (RISs) have been proposed recently as new technology to tune the wireless propagation channels in real-time. However, most of the current works…
Tensor-Based Channel Estimation and Reflection Design for RIS-Aided Millimeter-Wave MIMO Communication Systems
Sepideh Gherekhloo, Khaled Ardah, André L. F. de Almeida +1
In this work, we consider both channel estimation and reflection design problems in point-to-point reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) MIMO comm…
Machine Learning for Model Order Selection in MIMO OFDM Systems
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
A variety of wireless channel estimation methods, e.g., MUSIC and ESPRIT, rely on prior knowledge of the model order. Therefore, it is important to correctly estimate the number of…
Recovery under Side Constraints
Khaled Ardah, Martin Haardt, Tianyi Liu +3
This paper addresses sparse signal reconstruction under various types of structural side constraints with applications in multi-antenna systems. Side constraints may result from pr…
Fully Digital and Hybrid Beamforming Design For Millimeter-Wave MIMO-OFDM Two-Way Relaying Systems
Sepideh Gherekhloo, Khaled Ardah, Martin Haardt
In this work, we consider the design of hybrid analog-digital (HAD) multi-carrier MIMO-OFDM two-way relaying systems, where the relay station is equipped with a HAD amplify-and-for…
Machine Learning Prediction of Time-Varying Rayleigh Channels
Joseph Kibugi, Lucas N. Ribeiro, Martin Haardt
Channel state information (CSI) rapidly becomes outdated in high mobility scenarios, degrading the performance of wireless communication systems. In these cases, time series predic…
Low-Complexity Zero-Forcing Precoding for XL-MIMO Transmissions
Lucas N. Ribeiro, Stefan Schwarz, Martin Haardt
Deploying antenna arrays with an asymptotically large aperture will be central to achieving the theoretical gains of massive MIMO in beyond-5G systems. Such extra-large MIMO (XL-MI…
Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrai…