XLIV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

This paper presents an orthogonal frequency division multiplexing (OFDM)-based methodology for estimating the passband frequency responses of power line communication (PLC) channels. The proposal combines the estimation and correction of symbol-timing, carrier-frequency, and sampling frequency offsets with channel estimation and enhancement techniques....

This work investigates the performance of classical and neural equalization schemes under different channel memory and nonlinearity regimes. Four equalizers are compared: Zero Forcing (ZF), Least Mean Squares (LMS), diagonal Volterra equalization, and a residual Long Short-Term Memory (LSTM) equalizer. Three representative communication channel scenarios...

Este trabalho avalia o uso de visão computacional para a detecção automática de ativos em redes de distribuição elétrica a partir de imagens veiculares georreferenciadas. Para isso, apresenta-se um sistema embarcado de aquisição, composto por câmeras de alta resolução, sensores de posicionamento e unidade de controle, desenvolvido para coletas em campo....

Aiming to bridge the gap between practical data rates and simulated achievable data rates (ADRs), this work focuses on ergodic ADR analyses of 6G point-to-point multiple-input multiple-output channels in the frequency bands of 7.8 GHz and 15 GHz, when an urban microcell scenario is considered. Numerical results showed that the realistic ADRs are 46% of...

We study single-target localization in a group-connected beyond-diagonal reconfigurable intelligent surface (BD-RIS)-assisted monostatic network with K element groups. We propose a Nested Tensor Factorization and Estimation (NTFE) algorithm that models the received signal as a 3rd-order nested Tucker tensor, decoupling the delay-Doppler and angle...

The interpretation of Electromagnetic Acoustic Transducer (EMAT) signals for assessing corrosion-induced wall loss in metallic plates are constrained by the scarcity of labeled defects in industrial operation, motivating one-class formulations. To address this, the 20,000-sample A-scan undergoes reduction to a 23-dimensional RMS envelope using band-pass...

This paper presents the integration of FTN-GFDMA into an A-RoF system for eRAC scenarios. A baseband-equivalent model incorporating MZM nonlinearities is developed, and a machine-learning-based DPD scheme is employed to mitigate electro-optical distortions. The study discusses the benefits and challenges of combining FTN-GFDMA with A-RoF, including...

Este artigo investiga redes CF-mMIMO com antenas fluidas e arquitetura centrada no usuário. Formulamos a maximização da taxa mínima no uplink com otimização conjunta de potências e posicionamento das antenas, resolvida por otimização alternada: bisseção para alocação de potência e PSO para busca contínua. Comparamos a busca exaustiva quantizada com a...

Ambient Backscatter Communication (AmBC) enables ultra-low-power transmission using ambient radio frequency (RF) signals for massive Internet of Things (IoT) applications. In dense deployments, however, active tags may cause inter-tag interference, often overlooked in prior work. This paper evaluates a multi-source AmBC system across interference...

This paper presents a case study on federated online regression for PM2.5 prediction in distributed air quality monitoring. PM2.5 is a widely used air quality indicator that refers to fine particulate matter smaller than 2.5 µm. Originally, the Fed-VFDT framework was designed for classification. In this work, we adapt Fed-VFDT to regression using...