Sociedade Brasileira de Telecomunicações · desde 1983 secretaria@sbrt.org.br
← Todos os eventos
SBrT2026 · 2026

XLIV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

303 artigos · página 25 de 31
DOI 10.14209/sbrt.2026.1571299939

Video-Based Criterion Validation of a Proprietary Collar-Mounted IMU Step Counter in Dogs

Marlon Nanael Leitão Malheiros, Gustavo Pegado, Charles L Ferreira, Ronaldo F Zampolo, Antonio Pereira Jr, Bianca Cifali, Dorian Dack, Guilherme Sant'ana
Collar-mounted inertial measurement units (IMUs) offer practical canine activity monitoring, though neck signals only indirectly represent paw-ground contact. This study validated a proprietary collar IMU step counter against manual video annotation using 15 walking/trotting bouts from 11 dogs. The video reference recorded 357 steps versus the IMU's 355....
canine gaitcollar sensorinertial measurement unitpedometry
DOI 10.14209/sbrt.2026.1571299940

QoS-Aware Sum-Rate Maximization and Parametric Analysis in FAS-RSMA

Jhenifer de Oliveira Melo, Tarcisio Ferreira Maciel, Francisco Rafael Marques Lima
This paper investigates a FAS-RSMA downlink under QoS-constrained sum-rate maximization. A traditional single-antenna base station serves FAS-equipped receivers that select the port with the largest instantaneous channel power gain under Jakes spatial correlation. The number of ports N and normalized aperture W jointly shape the effective gains, RSMA...
FAS-RSMAQoSsum-rate maximizationparametric analysis
DOI 10.14209/sbrt.2026.1571299941

LLM-as-a-Judge for Dynamic Resource Allocation in QoT-Aware Elastic Optical Networks

Talles Magalhães, Awlana Santana Costa, Danilo Loureiro Carneiro, Fabrício Lobato, Carlos Natalino, Joao Weyl Costa, Paolo Monti
Elastic optical networks (EONs) require online routing, modulation, and spectrum assignment (RMSA) under spectrum-continuity and physical-layer constraints. This paper evaluates compact large language models (LLMs) as bounded arbiters that select among quality of transmission (QoT)-feasible candidate actions generated by classical heuristics. Candidate...
elastic optical networksrouting and spectrum assignmentquality of transmissionLLM-as-a-Judge
DOI 10.14209/sbrt.2026.1571299943

Complexity-Pursuit Structural Descriptors for Lung Ultrasound Video Analysis

Marlon Nanael Leitão Malheiros, Ronaldo F Zampolo, Antonio Pereira Jr, Thaisse Paes
Lung ultrasound (LUS) videos contain temporal structure beyond static image appearance. This work introduces Complexity Pursuit (CP) descriptors for compact video-level analysis of LUS structural dynamics. Forty-six public videos (COVID-19, healthy, bacterial or viral pneumonia) were converted into pixel-time matrices, PCA-whitened subspaces, and CP...
Lung UltrasoundComplexity PursuitVideo DescriptorsCOVID-19
DOI 10.14209/sbrt.2026.1571299944

Análise baseada em IoU de viewports em vídeos imersivos: implicações do áudio para a modelagem de saliência visual

Felipe da Cunha Carvalho, Ronaldo F Zampolo, Aline F. G. Sousa
The development of visual attention models for immersive environments is essential for virtual reality-based systems. In this work, we analyze the convergence of viewports in 360º videos using the Intersection over Union (IoU) metric to quantify the overlap between regions viewed by different observers. Using eyetracking data from the PAVS10K database...
360º videosaudiovisual saliency modelingviewportsvirtual reality
DOI 10.14209/sbrt.2026.1571299945

A Study on User Association Based on Game Theory to Mobile Communications

Isabela Avelino Freire, Matheus D. Carneiro, Francisco Igor T. Pires, Igor M. Guerreiro
This work discusses user association methods in the 6G era such as maximum-SINR method and the minimum-distance method, and proposes a decentralized, non-cooperative game-theoretic approach to balance the AP load and penalize congestion by introducing a utility function that weighs individual link quality against network crowding.
Game TheoryLoad Balancing6GUser Association
DOI 10.14209/sbrt.2026.1571299947

Numerical Analysis of High-Gain Printed Antennas for 40 GHz Millimeter-Wave Operation

Guilherme Batista Dias, Pedro A. B. Leão, Jonathan Aguiar Soares, Pablo Rafael Neves Marciano, Gustavo Ferreira Vicentine, Arismar Cerqueira Sodré Junior, Christian Esteve Rothenberg, Evandro Conforti, Dalton Arantes
This paper presents a numerical study of four printed antennas for millimeter-wave operation around 40 GHz. Two single-element models are compared with two 10-element linear arrays designed to increase antenna gain. The antennas were evaluated through electromagnetic simulations in Ansys HFSS, considering the reflection coefficient and total-gain...
DOI 10.14209/sbrt.2026.1571299949

Transmissão Óptica Coerente no Espaço Livre para Redes 6G

Matheus Miranda De Menezes, Renan Matheus, Felipe Pinto, Arismar Cerqueira Sodré Junior, Andrea Chiuchiarelli
Este trabalho avalia o desempenho de sistemas ópticos de transmissão no espaço livre (FSO) para redes 6G baseadas em arquitetura fiber-wireless (FiWi). O desempenho é analisado em dois cenários: modulação de intensidade com detecção direta (IM-DD); e detecção coerente com diferentes modulações digitais. A arquitetura é analisada sob diferentes condições...
6GFiWiFSORecepção coerente
DOI 10.14209/sbrt.2026.1571299950

Impact of Inter-Hop Correlation on Reconfigurable Intelligent Surfaces

Gregory Anziliero, Eduardo N Velloso, José Cândido Silveira Santos Filho
Reconfigurable Intelligent Surfaces (RISs) are commonly analyzed under the assumption that the base-station-RIS and RIS-user-equipment hops are statistically independent. This assumption can be inaccurate when the two hops interact with common scatterers or clusters, producing inter-hop correlation in the RIS-side angular support. This paper investigates...
reconfigurable intelligent surfacesgeometry-based channel modelinginter-hop correlationspatial correlation
DOI 10.14209/sbrt.2026.1571299951

Electrical Impedance Tomography Shape Classification Using Deep Neural Networks

Yigermal Bassie Yassabie, Jefferson Martins, Ricardo Suyama, Fernando Silva de Moura, Aline Neves, André Takahata
Electrical impedance tomography (EIT) is often formulated as an inverse problem of reconstructing internal conductivity distribution from boundary-voltage measurements. In contrast to conventional image reconstruction approaches, this work addresses a supervised task classification of the shape of a single inclusion directly from experimentally acquired...
Shape classificationElectrical Impedance TomographyDeep Neural Networksvoltage-domain classification