no code implementations • 16 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.
no code implementations • 4 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.
no code implementations • 2 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.
no code implementations • 29 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.
no code implementations • 10 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.
no code implementations • 17 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.
no code implementations • 7 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.
no code implementations • 12 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.
no code implementations • 16 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.
no code implementations • 28 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.
no code implementations • 20 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.
no code implementations • 7 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.
no code implementations • 1 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.
no code implementations • 31 Mar 2022 • Julia Vinogradova, Gábor Fodor, Peter Hammarberg
We propose a method for autoregressive parameter estimation for the single input multiple output (SIMO) channel.
no code implementations • 24 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.
no code implementations • 18 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.
no code implementations • 26 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.
no code implementations • 16 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.