DOI 10.14209/sbrt.2025.1571144691
Júlia Aline Sousa Maciel, Tiago Sutili, Rafael C. Figueiredo, Darli Mello
We evaluate the design of an unrepeatered optical system based on the simultaneous optimization of its transmission, reception, and amplification parameters by a neural network algorithm (NNA), aiming at maximizing the achieved mutual information (MI). After transmission system design, the probabilistic shaping (PS) method applying the Maxwell-Boltzmann...
DOI 10.14209/sbrt.2025.1571144698
Leandro R. S. Farias, Tales V. R. O. Câmara, Luiz F. Q. Silveira, Kenji Nose Filho, Tiago Barros
This work proposes a method for estimating the Q-factor from surface reflection data by formulating an inverse problem based on the convolutional model. The approach is flexible, allowing easy substitution of different attenuation models within the same framework. The Q-factor is estimated by minimizing a mean square error cost function using gradient...
DOI 10.14209/sbrt.2025.1571144703
Ekarani Silvestre, Rian Melo, Ruan Gomes, Ednaldo Junior, João Brunet
This paper presents a proof of concept on dynamically slicing a 5G network using TC and eBPF for granular Quality of Service (QoS). The approach ensures appropriate bandwidth for each slice based on near real-time traffic inspection and classification. eBPF handles packet inspection and classification using the Hierarchical Token Bucket (HTB) queuing...
DOI 10.14209/sbrt.2025.1571144705
Erick Adrian Iglesias Rodriguez, Marcos Eduardo Pivaro Monteiro, Glauber Brante, Guilherme Luiz Moritz, Richard Demo Souza
We propose a method to enhance Bluetooth Low Energy (BLE) angle of arrival (AoA) estimation using the multiple signal classification (MUSIC) algorithm as a base estimator. In order to identify and remove outliers that jeopardize the accuracy performance, the proposed algorithm employs a sliding window median filter, which is compared to an adjustable...
DOI 10.14209/sbrt.2025.1571144717
Franz M. E. Camilo, Rayner Augusto Silva, Gustavo Rodrigues, Nuno R. Leonor, Rafael F. S. Caldeirinha, Luiz da Silva Mello, Glaucio L. Ramos
Radio propagation prediction is a fundamental stage in mobile communication systems design and improvement. That prediction is based on propagation models often developed from empirical measurements. That is a complex process, which has recently been boosted by several machine learning and artificial intelligence tools. Among those techniques, symbolic...
DOI 10.14209/sbrt.2025.1571144728
Marcus Vinícius Gonzaga Ferreira, Leonardo Alves Moreira de Melo, Flavio Vieira
Este artigo investiga a alocação de recursos no uplink de redes sem fio com comunicações dispositivo-para-dispositivo (D2D) em um cenário de compartilhamento múltiplo. É proposto um algoritmo de alocação de recursos que otimiza a potência alocada aos dispositivos de modo a maximizar vazão e busca reduzir o retardo utilizando conceitos de Cálculo de Rede,...
5GD2DAlocação
DOI 10.14209/sbrt.2025.1571144729
Jorge G. S. Costa, Yasmim K. C. Costa, André Fernandes, Andre Mendes Cavalcante, Joao Weyl Costa
This work investigates protection schemes in User Centric (UC) distributed massive MIMO (D-mMIMO) networks with serial fronthaul connections under limited capacity, using dynamic bit allocation and different precoding techniques. The study evaluates the impact of failures, protection schemes, performance degradation, and operational costs across various...
Protection schemesUC D-mMIMOserial fronthauldynamic bit allocation
DOI 10.14209/sbrt.2025.1571144737
Patrik L Peres, Marcio H Costa, Alvaro Burin, Ton Kramer, Lucas Rodrigues
This paper presents an automated classifier for translucency images of fertile and commercial eggs, based on machine learning methods. Translucency analysis is utilized for the evaluation of shell quality, which can be correlated with nutritional, sanitary, and management aspects. A comparison among different machine learning strategies, on the largest...
DOI 10.14209/sbrt.2025.1571144746
Christian Rodrigues, Lisandro Lovisolo, Nicholas Freitas
A localização onde os usuários acessam uma rede móvel pode afetar significativamente o desempenho dessa rede. Neste artigo, são aplicados modelos de propagação que dependem da posição do usuário para avaliar o desempenho de uma rede móvel sem fio, com o objetivo de representar de forma mais precisa o comportamento das redes reais. Utilizam-se dados e...
5GModelos de PropagaçãoDados Georreferenciados
DOI 10.14209/sbrt.2025.1571145532
Gustavo Fregonezi Depieri, Aline Neves
Este artigo propõe abordar a equalização de canais como um problema de separação cega de fontes através do Single Channel ICA. O problema é estendido para o caso não linear através do modelo Post-Nonlinear de misturas. Para a solução do problema, algoritmos bioinspirados são usados para recuperar a etapa não-linear da mistura, enquanto o FastICA é usado...