6 papers
Low-Complexity Tensor Beamforming for RIS-Aided Multiuser Multistream MIMO Systems
Bruno Sokal, André L. F. de Almeida, Martin Haardt
We address joint active and passive beamforming for uplink RIS-assisted multi-user multi-stream MIMO systems with joint detection. The coupled design of the receive combiner, block…
Direction Finding with Sparse Arrays Based on Variable Window Size Spatial Smoothing
Wesley S. Leite, Rodrigo C. de Lamare, Yuriy Zakharov +2
In this work, we introduce a variable window size (VWS) spatial smoothing framework that enhances coarray-based direction of arrival (DOA) estimation for sparse linear arrays. By c…
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation
Mustafa Musab, Joseph K. Chege, Arie Yeredor +1
Reliable density estimation is fundamental for numerous applications in statistics and machine learning. In many practical scenarios, data are best modeled as mixtures of component…
Max-Min Beamforming for Large-Scale Cell-Free Massive MIMO: A Randomized ADMM Algorithm
Bin Wang, Jun Fang, Yue Xiao +1
We consider the problem of max-min beamforming (MMB) for cell-free massive multi-input multi-output (MIMO) systems, where the objective is to maximize the minimum achievable rate a…
Probabilistic Position-Aided Beam Selection for mmWave MIMO Systems
Joseph K. Chege, Arie Yeredor, Martin Haardt
Millimeter-wave (mmWave) MIMO systems rely on highly directional beamforming to overcome severe path loss and ensure robust communication links. However, selecting the optimal beam…
Enhanced channel estimation for double RIS-aided MIMO systems using coupled tensor decomposition
Gerald C. Nwalozie, Andre L. F. de Almeida, Martin Haardt
In this paper, we consider a double-RIS (D-RIS)-aided flat-fading MIMO system and propose an interference-free channel training and estimation protocol, where the two single-reflec…