XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This paper presents a comprehensive geographic coverage analysis of Brazilian broadcasting services operating in the 600 MHz band, currently allocated to digital television and considered for future applications such as TV 3.0. A custom simulation framework implementing the ITU-R P.1812 propagation model was developed to estimate field strength using...

This paper takes the first step in exploiting the correlations between chirps to increase the data rate of orthogonal chirp-frequency division multiplexing (OCFDM) systems. To do so, the OCFDM system model is first revisited, and then its achievable data rate is written as a function of the correlated-signal-to-noise ratio (cSNR) matrix. A power...

LiDAR systems generate large point cloud datasets, posing significant storage and transmission challenges in resource-constrained environments like IoT networks and drone-based systems. This study conducts a comparative analysis of lossless compression algorithms for LiDAR data in LAS format, evaluating their performance in balancing compression...

A adoção de Redes Definidas por Software (SDN) é uma alternativa promissora para permitir o controle centralizado, reconfiguração dinâmica e flexibilidade no encaminhamento de tráfego em Redes 5G. Este artigo investiga o redirecionamento adaptativo de tráfego em uma rede de transporte 5G baseada em SDN, considerando diferentes tempos para a recuperação...

This paper presents a detailed analysis of both linear and planar dipole antenna arrays, with emphasis on beamforming techniques applied to high-frequency environments, such as those expected for 6G networks. Using the Method of Moments (MoM), the electromagnetic behavior of the arrays operating at 28 GHz and their communication capabilities in the...

This paper provides a quantitative performance comparison between Orthogonal Time Frequency Space (OTFS) and Orthogonal Frequency-Division Multiplexing (OFDM) modulation schemes, focusing on mobile wireless communication scenarios. We evaluate and compare both schemes based on critical communication scenarios and configurations such as mobility levels,...

This work addresses sustainability-driven network design for future wireless systems by integrating batteryless dense IoT networks-based on ambient backscatter communication-with geospatial intelligence and deep reinforcement learning. We propose GAIA-DRL (Geoenvironmentally-Aware Intelligent Agent with Deep Reinforcement Learning), an approach that...

Este artigo propõe um softsensor baseado em redes neurais LSTM para estimar as emissões de CO2 em veículos a combustão, utilizando dados obtidos via OBD-II. A abordagem permite modelar sequências temporais complexas em condições reais de condução. Para quantificar a incerteza das previsões, foi empregada a técnica de Monte Carlo Dropout, permitindo a...

Este trabalho propõe uma avaliação objetiva da qualidade de vídeo em ambientes de Acesso Fixo sem Fio com gateways 5G, utilizando transmissão em resolução 4K como cenário de teste. O estudo considera quatro métricas para avaliar a qualidade de vídeo sob diferentes condições de rede e modulação. A metodologia envolve o uso do protocolo MPEG-DASH para...

This work investigates the impact of illumination correction on lane detection in autonomous driving scenarios. We employ YOLOP, a deep learning-based architecture capable of real-time drivable area segmentation and lane detection. Three preprocessing techniques were evaluated: AWB, SCL-LLE, and Wavenet. Experiments were conducted using the VIL-100 and...