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SBrT2020 · 2020

XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais

253 artigos · página 21 de 26
DOI 10.14209/SBRT.2020.1570661424

Transmissão de energia no interferômetro de Mach-Zehnder de fibra de cristal fotônico com modulação PWM

Antonio Alan Rodrigues de Araújo, Francisco Araujo, Lorenna Araujo, Iara Sousa, Vanessa Alves
This paper presents a study about the operation of a fully optical device based on nonlinear directional couplers based on crystal fiber dual-core. It analyzed the transmission and interaction of energy between the pulses of the waveguides through pulse width modulation, taking into account the input power, pulse modulation and phase difference. The...
fibra de cristal fotônicoacoplador direcional não linearmodulação por largura de pulsocontrole de fase
DOI 10.14209/SBRT.2020.1570661427

Detecção de Baixa Complexidade para Constelações Multidimensionais com Diversidade Completa Baseadas na Abordagem Combinatorial

Juliana C Inácio, Bruno Fontana da Silva, Bartolomeu F. Uchôa-Filho, Didier Le Ruyet
A combinatorial approach was recently proposed for the design of multidimensional signal constellations for fading channels. Albeit flexible and guaranteeing full signal space diversity, the technique adopts the exponentially complex optimal maximum likelihood (ML) detection. In this work, we propose two low complexity detection algorithms, a sub-optimal...
detecção em listadiversidade de espaço de sinaisdiversidade completa
DOI 10.14209/SBRT.2020.1570661430

An iterative-recursive SOS-based method for separation of Post-Nonlinear Mixtures

Caroline P. A. Moraes, Aline Neves, Denis Fantinato
Independent Component Analysis (ICA) methods are widely used in the linear Blind Source Separation (BSS) problem. Nevertheless, for some practical cases, the linear assumption is not valid, requiring nonlinear mixing models. The Post-Nonlinear is one of the few nonlinear models in which ICA is able to perform source separation. In previous works, an...
Blind Source SeparationPost-NonlinearSecond-Order Statistics
DOI 10.14209/SBRT.2020.1570661432

Tensor-Based Semi-Blind Receiver for Channel and Symbol Estimation in Frequency-Selective MIMO Systems with Phase Noise Impairments

Paulo Gomes, Bruno Sokal, André de Almeida
In this paper, we propose a two-stage tensor-based semi-blind receiver for joint channel, phase noise (PN) and symbol estimation for frequency-selective MIMO systems in the presence of PN impairments. In the first stage, the frequency-selective MIMO channel is directly estimated through a tensor-based alternating least squares (ALS) algorithm that fits a...
MIMO systemsjoint channel and symbol estimationPARAFAC decomposition
DOI 10.14209/SBRT.2020.1570661435

QoS Guarantees in NOMA-based Wireless Powered Mobile Communications

Jhenifer de Oliveira Melo, Raissa de Sousa, Francisco Rafael Marques Lima
A Non-Orthogonal Multiple Access (NOMA)-based Wireless Powered Communication Network (WPMC) system is studied in this work where, at each time frame, an access point firstly performs Wireless Power Transfer (WPT) to energize the battery of mobile terminals (phase 1) and then, receives information from terminals in uplink by employing NOMA (phase 2).We...
Energy HarvestingNon-Orthogonal Multiple AccessSuccessive Interference CancellationQuality of Service
DOI 10.14209/SBRT.2020.1570661436

Leveraging Reinforcement Learning for User Pairing in Full Duplex Networks

João Rafael Barbosa de Araujo, Francisco Rafael Marques Lima
In this article we employ a reinforcement learning solution called Upper Confidence Bound (UCB) over the framework of Multi-Armed Bandit (MAB) to solve User Equipment (UE) pairing problem in Full Duplex (FD) network. In the context of the total data rate maximization problem, our proposed solution is capable of learning the best UE pair iteratively by...
Reinforcement LearningFull-DuplexMultiarmed bandit
DOI 10.14209/SBRT.2020.1570661463

Uso de Estratégias de Multiplicação por Múltiplas Constantes para Implementação de Filtros Volterra

Eduardo L. O. Batista, Rogério Paludo
This work is focused on the development of a new effective strategy to implement Volterra filters using flexible or configurable hardware platforms such as field-programmable gate arrays (FPGAs). The proposed strategy is based on multiple-constant-multiplication (MCM) techniques, which utilize shifts, sums, and hardware reuse for effectively carrying out...
Filtro VolterraFPGAMCM
DOI 10.14209/SBRT.2020.1570661555

Detecção de Potenciais Focos do Aedes aegypti em Vídeos Aéreos Usando Redes Neurais

Wesley Passos, Eduardo A. B. da Silva, Sergio Lima Netto, Jonathan B. Martins, Yan B. Costa, Gabriel Araujo, Amaro de Lima
The Aedes aegypti mosquito is the transmitter of diseases like dengue, zika, chikungunya, and urban yellow fever, which affect millions of people every year. The main control for these diseases is done by searching and eliminating the mosquitos breeding grounds. In this work we introduce a comprehensive database of aerial videos recorded with a drone,...
Aedes aegyptivisão computacionalprocessamento de imagemdetecção de objetos
DOI 10.14209/SBRT.2020.1570661574

An Enhanced Temporal Compressive Resource Allocation Technique for PLC Systems

Yan F Coutinho, Guilherme Colen, Moises Vidal Ribeiro
This work introduces enhanced versions of the temporal compressive resource allocation technique, which is applied for power line communication systems when the periodically time varying behavior of electric power systems is taken into account. The enhancements are accomplished by introducing two changes that increase the effectiveness of the resource...
Bit loadingPower Line Communicationresource allocationrate adaptive
DOI 10.14209/SBRT.2020.1570661586

Signal Compression for Efficient Partitioning of Deep Neural Networks

Flavio Mendes de Brito, Ingrid Nascimento, Luan Assis Gonçalves, Silvia Lins, Neiva Linder, Aldebaro Klautau
Fifth generation (5G) mobile networks are adopting several techniques to provide higher data rates while meeting strict latency requirements. Advanced compression techniques and distributed data processing are among them supporting cost efficient network deployments. Also, the usage of machine learning techniques to optimize telecommunication systems is...
Deep Learning5GTelecommunicationsSplit Research