DOI 10.14209/sbrt.2025.1571145548
Gustavo M Campos, Mateus Filomeno, Andrea M Tonello, Moises Vidal Ribeiro
This paper presents a statistical analysis of artificial noise (AN) designed based on the degrees of freedom provided by the cyclic prefix to enhance physical-layer security in power line communication (PLC) systems. A comprehensive description of the AN design is provided, and the AN is modeled as a random vector while its analysis is based on the...
Artificial noisePhysical layer securityPower line communicationStatistical analysis
DOI 10.14209/sbrt.2025.1571145616
Matheus D. Carneiro, Igor M. Guerreiro, Yuri C. B. Silva, Samuel S Silva, Victor Farias Monteiro, Abraão de Carvalho Albuquerque
Distributed multi-input multi-output (D-MIMO) has been proposed for the 6th generation (6G) of mobile communications to provide more uniform networks by connecting each user equipment (UE) to more than one access point (AP) through the same bandwidth resource. To meet the individual traffic demands of each UE in a D-MIMO setup, the use of dynamic time...
D-MIMODynamic TDDPower ControlEnergy Efficiency
DOI 10.14209/sbrt.2025.1571145681
Juan Fabricio Monteiro Oliveira, André Fernandes, Daynara Dias Souza, Yasmim K. C. Costa, Andre Mendes Cavalcante, Joao Weyl Costa
User-centric distributed massive multiple-input multiple-output (D-mMIMO), or cell-free massive MIMO, is a novel wireless technology that improves spectral efficiency and provides uniform coverage in sixth-generation mobile networks (6G). However, properly dimensioning the amount of transmission and reception points (TRPs) for effective network operation...
Cell-free massive MIMOUser-centric networksTRP dimensioning6G mobile networks
DOI 10.14209/sbrt.2025.1571145822
Gabriel C R Morás, Marcelo Satyro, Victoria Souto, Richard Demo Souza
This paper proposes a novel solution that jointly optimizes PBs placement and energy beamforming, relying solely on statistical channel state information (SCSI). The proposed method integrates Self-Organizing Maps (SOMs) with K-means clustering, both unsupervised machine learning techniques, to derive a suboptimal yet effective placement of PBs....
DOI 10.14209/sbrt.2025.1571146057
Rafael Alex Vieira do Vale, Ruann Lira, Isaac B. T. da Silva, Antonio Campos
Este trabalho propõe uma antena ressoadora dielétrica cilíndrica a partir de resíduos cerâmicos de tijolos e telhas. A amostra foi confeccionada em formato cilíndrico e sinterizadas a temperaturas de e 1100 °C. O projeto da DRA seguiu o método de alimentação por acoplamento por abertura. A simulação foi realizada para determinar a perdas de retorno,...
DOI 10.14209/sbrt.2025.1571146402
João Roberto Teixeira dos Santos, Victoria Souto, Richard Demo Souza
Wireless Energy Transfer (WET) via radio frequency (RF) emerges as a promising solution to autonomously and maintenance-free power IoT devices. This work experimentally evaluates a WET system for Wireless Information Transfer (WIT) in an indoor environment using the Powercast P2110-EVAL-01 kit. The radiation pattern of the transmitter and the Frame Error...
DOI 10.14209/sbrt.2025.1571148485
Eduardo Francisco Silva de Lima Henriques, Rafael Chaves, Paulo S R Diniz
This paper explores the integration of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surfaces (RIS) as key technologies to address the wireless communications challenges. NOMA improves spectral efficiency by enabling resource sharing among multiple users, while RIS enhances signal quality and coverage with lower energy consumption....
NOMARISChannel EstimationDeep Learning
DOI 10.14209/sbrt.2025.1571148631
Mariana Mello, Karine Barbosa Carbonaro, Luciano Leonel Mendes
This work proposes a deep Bi-LSTM for symbol detection in FTN-GFDM systems. The estimator learns the nonlinear mapping between matched filter outputs and transmitted symbols, handling ISI and colored noise. The network is trained offline using synthetically generated data and evaluated over AWGN and TIFS channels. Results show that the Bi-LSTM achieves...
DOI 10.14209/sbrt.2025.1571148975
Heitor Eugênio Gonçalves, Gabriel A Queiroz, Éderson R. da Silva
Neste trabalho, propõe-se uma técnica que combina Redes Neurais Artificiais (RNAs) e Algoritmos Genéticos (AGs) para a detecção de intrusões em redes de computadores. Para a validação da metodologia, foi utilizado o banco de dados CIC-IDS2018, que contém registros detalhados de tráfego de rede durante a realização de diversas intrusões. A aplicação da...
DOI 10.14209/sbrt.2025.1571149869
Filipe Victor Dantas, João Rafael Costa, Nilson H. O. Cunha, José Patrocínio da Silva
Este artigo propõe o estudo de uma fibra óptica composta por sílica fundida com furos de ar elípticos, distribuídos quase periodicamente segundo o mosaico de Penrose. A geometria resultante forma uma fibra de quase cristal fotônico (PQCF), operando em 1,55 µm. Dois cenários estruturais foram analisados: no primeiro, os furos apresentam eixo horizontal...
Confinamento de campoFibra de quase cristal fotônicoFuros elípticosMosaico de Penrose