406 citations · 638 across the 50 of their papers we have counts for
55 papers
On Target Detection in the Presence of Clutter in Joint Communication and Sensing Cellular Networks
Julia Vinogradova, Gabor Fodor
Recent works on joint communication and sensing (JCAS) cellular networks have proposed to use time division mode (TDM) and concurrent mode (CM), as alternative methods for sharing…
A Comparison of Neural Networks for Wireless Channel Prediction
Oscar Stenhammar, Gabor Fodor, Carlo Fischione
The performance of modern wireless communications systems depends critically on the quality of the available channel state information (CSI) at the transmitter and receiver. Severa…
Off-the-grid Blind Deconvolution and Demixing
Saeed Razavikia, Sajad Daei, Mikael Skoglund +2
We consider the problem of gridless blind deconvolution and demixing (GB2D) in scenarios where multiple users communicate messages through multiple unknown channels, and a single b…
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery
Gabor Fodor, Marcos V. Conde
Deforestation estimation and fire detection in the Amazon forest poses a significant challenge due to the vast size of the area and the limited accessibility. However, these are cr…
Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications
Wilker de O. Feitosa, Igor M. Guerreiro, Fco. Rodrigo P. Cavalcanti +5
This work investigates interference mitigation techniques in multi-user multiple input multiple output (MU-MIMO) Intelligent Reflecting Surface (IRS)-aided networks, focusing on th…
Tensor-based modeling/estimation of static channels in IRS-assisted MIMO systems
Kenneth B. A. Benício, André L. F. de Almeida, Bruno Sokal +3
This paper proposes a tensor-based parametric modeling and estimation framework in multiple-input multiple-output (MIMO) systems assisted by intelligent reflecting surfaces (IRSs).…
Blind Asynchronous Goal-Oriented Detection for Massive Connectivity
Sajad Daei, Saeed Razavikia, Marios Kountouris +3
Resource allocation and multiple access schemes are instrumental for the success of communication networks, which facilitate seamless wireless connectivity among a growing populati…
Impact of Pilot Contamination Between Operators With Interfering Reconfigurable Intelligent Surfaces
Doğa Gürgünoğlu, Emil Björnson, Gábor Fodor
In this paper, we study the impact of pilot contamination in a system where two operators serve their respective users with the assistance of two wide-band reconfigurable intellige…
Low-Complexity Joint Active and Passive Beamforming Design for IRS-Assisted MIMO
Yuri S. Ribeiro, Fazal E-Asim, André L. F de Almeida +2
In this letter, we consider an intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) communication and we optimize the joint active and passive beamfo…
Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems
Kenneth B. A. Benicio, André L. F. de Almeida, Bruno Sokal +3
This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging. During the first stage, we model the received pilot signa…
Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks
Fazal-E-Asim, André L. F. de Almeida, Bruno Sokal +2
This paper proposes a pilot decoupling-based two-dimensional channel parameter estimation method for intelligent reflecting surface (IRS)-assisted networks. We exploit the combined…
Full-Duplex Wireless for 6G: Progress Brings New Opportunities and Challenges
Besma Smida, Ashutosh Sabharwal, Gabor Fodor +3
The use of in-band full-duplex (FD) enables nodes to simultaneously transmit and receive on the same frequency band, which challenges the traditional assumption in wireless network…
Structured Channel Estimation for RIS-Assisted THz Communications
Fazal-E-Asim, Bruno Sokal, André L. F. de Almeida +2
This paper proposes tensor-based channel estimation for reconfigurable intelligent surface (RIS)-assisted communication networks. We exploit the inherent geometrical structure of t…
Antenna Array Calibration Via Gaussian Process Models
Sergey S. Tambovskiy, Gábor Fodor, Hugo M. Tullberg
Antenna array calibration is necessary to maintain the high fidelity of beam patterns across a wide range of advanced antenna systems and to ensure channel reciprocity in time divi…
Mixed Coherent and Non-Coherent Transmission for Multi-CPU Cell-Free Systems
Roberto P. Antonioli, Iran M. Braga, Gabor Fodor +2
Existing works on cell-free systems consider either coherent or non-coherent downlink data transmission and a network deployment with a single central processing unit (CPU). While…
A Distributed Game-Theoretic Solution for Power Management in the Uplink of Cell-Free Systems
Juno V. Saraiva, Roberto P. Antonioli, Gábor Fodor +2
This paper investigates cell-free massive multiple input multiple output systems with a particular focus on uplink power allocation. In these systems, uplink power control is highl…
Efficient Battery Usage in Wireless-Powered Cell-Free Systems with Self-Energy Recycling
Iran M. Braga, Roberto P. Antonioli, Gabor Fodor +2
This paper investigates wireless-powered cell-free systems, in which the users send their uplink data signal while simultaneously harvesting energy from network nodes and user term…
Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation
Sergey S. Tambovskiy, Gábor Fodor, Hugo Tullberg
Cell-free multi-user multiple input multiple output networks are a promising alternative to classical cellular architectures, since they have the potential to provide uniform servi…
Architecture, Protocols, and Algorithms for Location-Aware Services in Beyond 5G Networks
Peter Hammarberg, Julia Vinogradova, Gábor Fodor +3
The automotive and railway industries are rapidly transforming with a strong drive towards automation and digitalization, with the goal of increased convenience, safety, efficiency…
Federated Learning Using Three-Operator ADMM
Shashi Kant, José Mairton B. da Silva, Gabor Fodor +3
Federated learning (FL) has emerged as an instance of distributed machine learning paradigm that avoids the transmission of data generated on the users' side. Although data are not…
Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections
Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal +3
Reconfigurable intelligent surface is a potential technology component of future wireless networks due to its capability of shaping the wireless environment. The promising MIMO sys…
Reducing the Control Overhead of Intelligent Reconfigurable Surfaces Via a Tensor-Based Low-Rank Factorization Approach
Bruno Sokal, Paulo R. B. Gomes, André L. F. de Almeida +2
Passive intelligent reconfigurable surfaces (IRS) are becoming an attractive component of cellular networks due to their ability of shaping the propagation environment and thereby…
Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections
Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal +3
Reconfigurable intelligent surface (RIS) is a candidate technology for future wireless networks. It enables to shape the wireless environment to reach massive connectivity and enha…
EVM Mitigation with PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM
Shashi Kant, Mats Bengtsson, Gabor Fodor +2
Although signal distortion-based peak-to-average power ratio (PAPR) reduction is a feasible candidate for orthogonal frequency division multiplexing (OFDM) to meet standard/regulat…