Search Results for author: Gábor Fodor

Found 18 papers, 0 papers with code

Extended Automatic Repeat Request For Integrated Sensing And Communication Networks

no code implementations16 Apr 2024 Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi, Gábor Fodor

6G wireless networks will integrate communication, computing, localization, and sensing capabilities while meeting the needs of high reliability and trustworthiness.

Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces

no code implementations4 Feb 2024 Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi, Gábor Fodor

This letter studies the problem of jointly detecting active user equipments (UEs) and estimating their location in the near field, wherein the base station (BS) is unaware of the number of active (or inactive) UEs and their positions.

Action Detection Activity Detection

Combating Inter-Operator Pilot Contamination in Reconfigurable Intelligent Surfaces Assisted Multi-Operator Networks

no code implementations2 Nov 2023 Doğa Gürgünoğlu, Emil Björnson, Gábor Fodor

In this paper, we study a new kind of pilot contamination appearing in multi-operator reconfigurable intelligent surfaces (RIS) assisted networks, where multiple operators provide services to their respective served users.

Interference mitigation with block diagonalization for IRS-aided MU-MIMO communications

no code implementations29 Jun 2023 Wilker de O. Feitosa, Igor M. Guerreiro, Fco. Rodrigo P. Cavalcanti, Tarcisio F. Maciel, Maria Clara R. Lobão, Fazal-E-Asim, Behrooz Makki, Gábor Fodor

This work investigates interference mitigation techniques in multi-user multiple input multiple output (MU-MIMO) Intelligent Reflecting Surface (IRS)-aided networks, focusing on the base station end.

Impact of Pilot Contamination Between Operators With Interfering Reconfigurable Intelligent Surfaces

no code implementations10 Jun 2023 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 intelligent surfaces (RIS), each belonging to a single operator.

Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems

no code implementations17 May 2023 Kenneth B. A. Benicio, André L. F. de Almeida, Bruno Sokal, Fazal-E-Asim, Behrooz Makki, Gábor Fodor

This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging.

Two-Dimensional Channel Parameter Estimation for IRS-Assisted Networks

no code implementations7 May 2023 Fazal-E-Asim, André L. F. de Almeida, Bruno Sokal, Behrooz Makki, Gábor Fodor

The tradeoffs between performance and complexity offered by the proposed methods are discussed and numerically assessed.

Vocal Bursts Valence Prediction

Tensor-Based High-Resolution Channel Estimation for RIS-Assisted Communications

no code implementations12 Apr 2023 Fazal-E-Asim, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor

This letter proposes a high-resolution channel estimation for reconfigurable intelligent surface (RIS)-assisted communication networks.

Vocal Bursts Intensity Prediction

Antenna Array Calibration Via Gaussian Process Models

no code implementations16 Jan 2023 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 division duplexing schemes.

A Distributed Game-Theoretic Solution for Power Management in the Uplink of Cell-Free Systems

no code implementations28 Dec 2022 Juno V. Saraiva, Roberto P. Antonioli, Gábor Fodor, Walter C. Freitas Jr., Yuri C. B. Silva

This paper investigates cell-free massive multiple input multiple output systems with a particular focus on uplink power allocation.

Management

Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation

no code implementations20 Dec 2022 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 service quality and high resource utilisation over the entire coverage area of the network.

Bayesian Optimisation Management

Tensor-Based Channel Estimation for RIS-Assisted Networks Operating Under Imperfections

no code implementations7 Jun 2022 Paulo R. B. Gomes, Gilderlan T. de Araújo, Bruno Sokal, André L. F. de Almeida, Behrooz Makki, Gábor Fodor

Furthermore, the identifiability and computational complexity of the proposed algorithm are analyzed, and we study the effect of different imperfections on the channel estimation quality.

Optimizing Pilot Spacing in MU-MIMO Systems Operating Over Aging Channels

no code implementations1 Apr 2022 Sebastian Fodor, Gábor Fodor, Doğa Gürgünoğlu, Miklós Telek

Our key insight is that to maximize the achievable SINR and the spectral efficiency of MU-MIMO systems, proper pilot spacing must be applied to control the impact of the aging channel and to tune the trade-off between pilot and data symbols.

On Estimating the Autoregressive Coefficients of Time-Varying Fading Channels

no code implementations31 Mar 2022 Julia Vinogradova, Gábor Fodor, Peter Hammarberg

We propose a method for autoregressive parameter estimation for the single input multiple output (SIMO) channel.

On the Achievable SINR in MU-MIMO Systems Operating in Time-Varying Rayleigh Fading

no code implementations24 Mar 2022 Gábor Fodor, Sebastian Fodor, Miklós Telek

Minimizing the symbol error in the uplink of multi-user multiple input multiple output systems is important, because the symbol error affects the achieved signal-to-interference-plus-noise ratio (SINR) and thereby the spectral efficiency of the system.

AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking

no code implementations18 Jan 2022 Salwa Saafi, Olga Vikhrova, Gábor Fodor, Jiri Hosek, Sergey Andreev

The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices in harbors.

Management

Simultaneous Wireless Information and Power Transfer for Federated Learning

no code implementations26 Apr 2021 José Mairton B. da Silva Jr., Konstantinos Ntougias, Ioannis Krikidis, Gábor Fodor, Carlo Fischione

We investigate the trade-off between the number of communication rounds and communication round time while harvesting energy to compensate the energy expenditure.

Federated Learning

User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO

no code implementations16 Dec 2020 Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret

Massive multiple-input multiple-output (mMIMO) communications are one of the enabling technologies of 5G and beyond networks.

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