XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

Open RAN (O-RAN) aims to reduce operational costs and improve interoperability by promoting disaggregated and virtualized Radio Access Network architecture. In this context, development of new xApps is limited by the capabilities of underlying experimental platforms. This paper presents an experimental environment integrating srsRAN and OSC-RIC, two...

Superfícies Inteligentes Reconfiguráveis (RIS - Reconfigurable Intelligent Surfaces) são consideradas uma tecnologia-chave para os sistemas sem fio de próxima geração, com potencial para ampliar a cobertura das redes, melhorar a eficiência espectral e mitigar interferências. Essas melhorias são alcançadas por meio do controle dinâmico do ambiente de...

With the emergence of 6G and IoT systems, it becomes crucial to correctly detect faults in optical networks to guarantee access to these vital systems. Although machine learning approaches show promise, most demand large datasets, often scarce in practice, posing a significant challenge for model deployment. In this work, we evaluate three...

This paper presents a closed-loop fuel pressure control system for internal combustion engines using pulse-width modulation to regulate the fuel pump based on real-time pressure feedback. A proportional-integral-derivative controller was tuned using experimental data to improve the response. Validation was performed using the fuel system of an FSAE race...

Este trabalho avalia o desempenho de uma rede 5G privativa composta por um core open source (Open5GS) e uma RAN comercial. Experimentos foram realizados com diferentes configurações de hardware, sob a análise de métricas como taxa de transmissão e latência. Os resultados demonstram que o desempenho da rede implementada está associado à frequência de...

With the increasing complexity of 5G networks, flexible solutions are needed to ensure the requirements of each service. Network slicing isolates resources for different services, but there is no standard for end-to-end isolation in the transport network domain. This work explores using SDN and programmable P4 switches for network slicing in the...

Since optical networks support data-intensive applications, ensuring transmission reliability is crucial. Conventional failure detection often relies on simplified thresholds or supervised learning, requiring large failure datasets. Semi-supervised methods offer viable alternatives by handling limited or imbalanced data. This work proposes a failure...

Advances in telecommunications have driven new technologies, such as 5G, which offers higher speeds and lower latency in data transmission. This study aims to measure and analyze signal strength levels based on RSSI in the 5G frequency band within an urban area of Mossoró, assessing signal power and its compliance with IEEE protocols and ANATEL...

This paper presents a study on remaining useful life estimation techniques for bearings in rotating machines. Two methods based on mathematical models (exponential growth) and two data-driven methods (autoencoder and LSTM network) were compared. To mitigate the restriction in data availability, synthetic signals generated from real signal characteristics...

Despite the growing adoption of remote photoplethysmography (rPPG) for non-contact heart rate monitoring, conventional whole-face approaches face major challenges in real-world scenarios. These include sensitivity to facial movements (e.g., blinking, talking) and uneven illumination, both of which degrade measurement accuracy. To address these...