XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This article presents a practical evaluation of machine-learning models to detect novelties and classify threats in IoT networks using an ML-based approach. Given the escalating significance of analyzing network traffic amidst the proliferation of devices and sensitive data exchange, this research holds significant relevance. The IoT Network Intrusion...

This study analyzes the scalability constraints of System Management and Orchestration (SMO) in O-RAN SC, mainly focusing on the increase in RAM consumption correlated with the rising count of DU/RU. The analysis unveils a significant influence on RAM utilization, emphasizing the requirement for competent resource management in ORAN infrastructures. This...

5G use cases present current challenges that needs to be addressed such as, big data generation, large variety of services and devices. In this regard, Reinforcement learning (RL) is an important new tool for Radio Resource Scheduling. However, most works assume the number of users remains constant over time, which does not hold in realistic mobile...

This work proposes the development of an autonomous, Intelligent System for Supervision of Diuresis Measurement (ISSDm) in medical devices to monitor patients. The system aims to minimize human interaction, allowing for the interpretation and dissemination of urine measurement information. By utilizing Electronic Instrumentation techniques and exploring...

This work analyzes the use of Kalman Filters to solve the Bearing-Only Tracking problem, aiming to support the implementation in a real combat management system. Eight models are evaluated, 6 of which were developed specifically for the problem, and they were applied to 15 scenarios, combining 5 initialization forms with 3 distinct ship movements. The...

Kernel Adaptive Filtering has proven to be an effective solution for nonlinear channel equalization, outperforming traditional linear filters. In this context, we highlight the Kernel Maximum Correntropy (KMC) filter, in which the use of the Epanechnikov kernel has shown to be a promising approach. However, this method presents two drawbacks: the...

This paper presents a novel indoor positioning system utilizing machine learning for user localization based on path loss estimates from strategically placed access points. We compare the performance of different out-of-the-shelf regressors and leverage the Extra Trees Regressor algorithm's randomness, avoiding overfitting and outperforming traditional...

Superfícies inteligentes reconfiguráveis (RIS) vêm sendo consideradas uma invenção tecnológica extraordinária pela sua capacidade de alterar as características eletromagnéticas do canal de comunicação sem fio. O projeto de técnicas de transmissão para sistemas com múltiplas antenas (MIMO) assistidas por RIS tem recebido grande atenção recentemente....

Estimar emissões primárias de fontes supraharmônicas em meio a interferências de outras fontes que ocupam a mesma faixa de frequência é um tema que merece mais estudos na área da qualidade da energia elétrica. Este artigo compara diferentes algoritmos de Análise de Componentes Independentes Complexa na separação de sinais desta banda de frequência...

The development of xApps for telecommunications systems is a new and open field. With the growing demand for new functionalities and the need for integration with the near Real-Time Radio Intelligent Controller (Near-RT RIC) systems and emulated base stations, it is essential to understand the challenges and opportunities involved in this process. In...