5 papers
Master-Assisted Distributed Uplink Operation for Cell-Free Massive MIMO Networks
Andreas Angelou, Pourya Behmandpoor, Marc Moonen
Cell-free massive multiple-input-multiple-output is considered a promising technology for the next generation of wireless communication networks. The main idea is to distribute a l…
A Generalized Weighted Overlap-Add (WOLA) Filter Bank for Improved Subband System Identification
Mohit Sharma, Robbe Van Rompaey, Wouter Lanneer +1
This paper addresses the challenges in short-time Fourier transform (STFT) domain subband adaptive filtering, in particular, subband system identification. Previous studies in this…
A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands
Pourya Behmandpoor, Mark Eisen, Panagiotis Patrinos +1
Deep learning (DL) based resource allocation (RA) has recently gained significant attention due to its performance efficiency. However, most related studies assume an ideal case wh…
Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks
Pourya Behmandpoor, Marc Moonen, Panagiotis Patrinos
Distributed learning and adaptation have received significant interest and found wide-ranging applications in machine learning and signal processing. While various approaches, such…
One-Shot Distributed Node-Specific Signal Estimation with Non-Overlapping Latent Subspaces in Acoustic Sensor Networks
Paul Didier, Pourya Behmandpoor, Toon van Waterschoot +1
A one-shot algorithm called iterationless DANSE (iDANSE) is introduced to perform distributed adaptive node-specific signal estimation (DANSE) in a fully connected wireless acousti…