8 papers
Distributed Multichannel Wiener Filtering for Topology-Unconstrained Wireless Acoustic Sensor Networks
Paul Didier, Pourya Behmandpoor, Henri Gode +4
This paper introduces the topology-independent distributed multichannel Wiener filter (TI-dMWF), a novel algorithm for distributed node-specific signal estimation in wireless acous…
Cooperative Uplink Channel Estimation in User-Centric Cell-free Massive MIMO Communication Networks
Pourya Behmandpoor, Marc Moonen
Cell-free massive multi-input-multi-output (CFmMIMO) communication networks aim to provide uniform quality of service by distributing access points (APs) across a coverage area. In…
Distributed Multichannel Wiener Filtering for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +4
[This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.] In a wireles…
FUTON: Fourier Tensor Network for Implicit Neural Representations
Pooya Ashtari, Pourya Behmandpoor, Nikos Deligiannis +1
Implicit neural representations (INRs) have emerged as powerful tools for encoding signals, yet dominant MLP-based designs often suffer from slow convergence, overfitting to noise,…
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 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…