DOI 10.14209/sbrt.2017.194
Paulo Roberto de Freitas, Horácio Tertuliano
The organizations providing public services, should not work without the use of proprietary communication
technologies and critical mission infrastructure, which provide, to
their actions and operations, the absolutely necessary conditions
to carry out their purposes. These requirements such as availability, reliability and scalability are vital to...
Critical InfrastructurePropagation ModelCoverage Prediction
DOI 10.14209/sbrt.2017.195
Leonardo O. Santos, Diego B. Haddad, Mariane R. Petraglia
Sparse systems are common in the most
diverse areas of application of adaptive filtering, in-
cluding control, biomedical engineering and echo can-
cellation. Algorithms capable of using this property
to accelerate convergence and/or improve steady state
error are gaining increasing prominence in the acade-
mic community. Motivated by these...
Adaptive filteringrecursive autocorre- lation matrix calculationℓ0-sign-LMSsparse system identificationtransient analysis
DOI 10.14209/sbrt.2017.174
Ana Paula Teles Ribeiro da Silva, José Marcos Câmara Brito
Cognitive radio technology using adaptive
modulation techniques has been widely proposed in the literature
as a promising solution to improve the performance of
telecommunications networks. A key issue in the adaptive
modulation technique is finding the optimum switching points
between modulations. In this paper, we considered a cognitive...
Adaptive ModulationCognitive RadioOptimum Switching Points
DOI 10.14209/sbrt.2017.196
Guilherme B. Ribeiro, Juliano B. Lima
The theory of graph signal processing has been
established over the last decade, with the purpose of generalizing
tools from classical digital signal processing to the cases where
the signal domain is an irregular network, modelled by an
arbitrary graph. In this paper, we investigate the fractional
shift of graph signals and, when dealing with ring...
Graph signal processingfractional delay filterinterpolation
DOI 10.14209/sbrt.2017.172
Robson D. A. Timoteo, Daniel C. Cunha, Lizandro N. Silva, George D. C. Cavalcanti
The outstanding growth of location-based services
and applications for mobile devices has motivated research
about wireless positioning techniques for outdoor and indoor
environments. In the present paper, a machine learning approach
is proposed for finding the mobile user location. More precisely,
a hybrid machine learning technique is proposed to...
Mobile positioningmachine learningcellular net- works
DOI 10.14209/sbrt.2017.173
Roberto P. Antonioli, Gabriela C. Parente, Tarcisio F. Maciel, Fco. Rodrigo P. Cavalcanti, Carlos F. M. e Silva, Emanuel B. Rodrigues
The Dual Connectivity (DC) technology has gained
a lot of momentum in the LTE Release 12 as a means to enhance
the per-user throughput and provide mobility robustness. Some
studies in the literature have discussed a coupling between the
LTE and the air interface of the upcoming Fifth Generation (5G)
in a DC scenario. That integration may provide...
5GDual ConnectivityMultiple Radio Access TechnologiesRadio Resource Management
DOI 10.14209/sbrt.2017.178
Roberto P. Antonioli, Emanuel B. Rodrigues, Tarcisio F. Maciel, Diego A. Sousa, Fco. Rodrigo P. Cavalcanti
This article proposes an adaptive radio resource
allocation algorithm for the downlink of wireless communication
systems that offer multiple services. The proposed algorithm is
based on utility theory and aims to maximize the user satisfaction
of all services in the system simultaneously while protecting the
satisfaction of a given service with...
Multiple ServicesUser Satisfaction MaximizationUtility TheoryRadio Resource Allocation
DOI 10.14209/sbrt.2017.180
Renan D. B. Brotto, Levy Boccato, João M. T. Romano
This work proposes the application of extreme
learning machines to the problem of nonlinear system identifi-
cation. Such structure constitutes a promissing option because it
presents the capability of approximating nonlinear mappings and
simplicity in the process of parameter adaptation. The proposed
strategy is analyzed in a scenario related to...
Nonlinear system identificationArtificial neural networksExtreme learning machines
DOI 10.14209/sbrt.2017.186
José A. P. Artiles, Daniel P. B. Chaves, Cecilio Pimentel
A cifragem de dados com alta correlação, como imagens, é um desafio para cifras de bloco, já que padrões característicos dos dados poderão transparecer após cifrados. Isto decorre do mapeamento determinístico realizado pela cifra.
Considerando a cifra AES como referência, neste trabalho é apresentada uma técnica de randomização desta cifra, empregando...
Cifra de Blococifragem de imagensmapas caóticospadrão avançado de criptografia
DOI 10.14209/sbrt.2017.198
L. F. Vasconcelos Peres, M. Komono Tojeiro, D. P. Moya Osorio, E. E. Benitez Olivo
Este artigo investiga o efeito da interferência da rede primária sobre o desempenho de uma rede cooperativa-cognitiva, baseada no protocolo amplifica-e-encaminha. Visando explorar
a diversidade multiusuário na rede secundária, quatro critérios diferentes de seleção do nó destino são considerados. Assume-se que a potência transmitida dos nós secundários...
Compartilhamento espectraldiversidade cooperativadiversidade multiusuáriointerferênciaredes cooperativas e cognitivas