2 citations · 6 across the 9 of their papers we have counts for
10 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…
Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht +3
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomp…
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…
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…
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…
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
Pourya Behmandpoor, Puya Latafat, Andreas Themelis +2
We introduce SPIRAL, a SuPerlinearly convergent Incremental pRoximal ALgorithm, for solving nonconvex regularized finite sum problems under a relative smoothness assumption. Each i…