no code implementations • 15 Feb 2024 • Diego A. Sousa, Fco. Rafael M. Lima, Victor F. Monteiro, Tarcisio F. Maciel, Behrooz Makki
NCRs, which have been standardized in 3rd generation partnership project Release 18, are radio frequency repeaters with beamforming capability controlled by the network through side control information.
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 • 20 Jun 2023 • Gabriel C. M. da Silva, Erik R. B. Falcão, Victor F. Monteiro, Darlan C. Moreira, Diego A. Sousa, Tarcisio F. Maciel, Fco. Rafael M. Lima, Behrooz Makki
Heterogeneous networks have been studied as one of the enablers of network densification.
no code implementations • 29 Jun 2022 • Victor F. Monteiro, Fco. Rafael M. Lima, Darlan C. Moreira, Diego A. Sousa, Tarcisio F. Maciel, Behrooz Makki, Hans Hannu
In this context, different of other works from the literature, the present work overviews the basis for the deployment of mIAB by presenting: 1) the current status of IAB standardization in the fifth generation (5G) new radio (NR); 2) a new taxonomy for state-of-the-art works regarding fixed IAB and mIAB; 3) an extensive performance analysis of mIAB based on simulation results; and 4) open challenges and potential future prospects of mIAB.
no code implementations • 23 Feb 2021 • Roberto P. Antonioli, Gabor Fodor, Pablo Soldati, Tarcisio F. Maciel
Fifth generation cellular systems support a broad range of services, including mobile broadband, critical and massive Internet of Things and are used in a variety of scenarios.
no code implementations • 3 Mar 2020 • Juno V. Saraiva, Iran M. Braga Jr., Victor F. Monteiro, F. Rafael M. Lima, Tarcisio F. Maciel, Walter C. Freitas Jr., F. Rodrigo P. Cavalcanti
In this article, we study a Radio Resource Allocation (RRA) that was formulated as a non-convex optimization problem whose main aim is to maximize the spectral efficiency subject to satisfaction guarantees in multiservice wireless systems.