154 citations · 682 across the 36 of their papers we have counts for
38 papers
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
Joseph K. Chege, Arie Yeredor, Martin Haardt
Obtaining a reliable estimate of the joint probability mass function (PMF) of a set of random variables from observed data is a significant objective in statistical signal processi…
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays
Tianyi Liu, Sai Pavan Deram, Khaled Ardah +3
Spatial frequency estimation from a mixture of noisy sinusoids finds applications in various fields. While subspace-based methods offer cost-effective super-resolution parameter es…
SALSA: A Sequential Alternating Least Squares Approximation Method For MIMO Channel Estimation
Sepideh Gherekhloo, Khaled Ardah, Martin Haardt
In this paper, we consider the channel estimation problem in sub-6 GHz uplink wideband MIMO-OFDM communication systems, where a user equipment with a fully-digital beamforming stru…
The Perfect Match: RIS-enabled MIMO Channel Estimation Using Tensor Decomposition
Bilal Ahmad, Kevin Weinberger, Aydin Sezgin +2
The deployment of reconfigurable intelligent surfaces (RISs) in a communication system provides control over the propagation environment, which facilitates the augmentation of a mu…
Combining AI/ML and PHY Layer Rule Based Inference -- Some First Results
Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt
In 3GPP New Radio (NR) Release 18 we see the first study item starting in May 2022, which will evaluate the potential of AI/ML methods for Radio Access Network (RAN) 1, i.e., for m…
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…
Low-Complexity Massive MIMO Tensor Precoding
Lucas N. Ribeiro, Stefan Schwarz, André L. F. de Almeida +1
We present a novel and low-complexity massive multiple-input multiple-output (MIMO) precoding strategy based on novel findings concerning the subspace separability of Rician fading…
The Extended "Sequentially Drilled" Joint Congruence Transformation and its Application in Gaussian Independent Vector Analysis
Amir Weiss, Arie Yeredor, Sher Ali Cheema +1
Independent Vector Analysis (IVA) has emerged in recent years as an extension of Independent Component Analysis (ICA) into multiple sets of mixtures, where the source signals in ea…
Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis
Amir Weiss, Sher Ali Cheema, Martin Haardt +1
Maximum Likelihood (ML) estimation requires precise knowledge of the underlying statistical model. In Quasi ML (QML), a presumed model is used as a substitute to the (unknown) true…
TRICE: A Channel Estimation Framework for RIS-Aided Millimeter-Wave MIMO Systems
Khaled Ardah, Sepideh Gherekhloo, André L. F. de Almeida +1
We consider the channel estimation problem in point-to-point reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) MIMO systems. By exploiting the low-rank nature…
Using Double Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM
Kristina Naskovska, André L. F. de Almeida, Martin Haardt
The slice-wise multiplication of two tensors is required in a variety of tensor decompositions (including PARAFAC2 and PARATUCK2) and is encountered in many applications, including…
Rank-one Detector for Kronecker-Structured Constant Modulus Constellations
Fazal-E-Asim, André L. F. de Almeida, Martin Haardt +2
To achieve a reliable communication with short data blocks, we propose a novel decoding strategy for Kronecker-structured constant modulus signals that provides low bit error ratio…
First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors
Sher Ali Cheema, Emilio Rafael Balda, Yao Cheng +3
The Semi-Algebraic framework for the approximate Canonical Polyadic (CP) decomposition via SImultaneaous matrix diagonalization (SECSI) is an efficient tool for the computation of…