DOI 10.14209/sbrt.2022.1570793703
Iury Batalha, Dércio M. Mate, Maykon Renan Pereira da Silva, Marcello G. Costa, Lívia Christinie Teles, Gidy Florez Navarro
High transmission rates are primary requirements for services and applications requiring improved mobile broadband (EMBB - Enhanced Mobile Broadband) and offered by fifth-generation (5G) networks. In this context, analyzing service quality metrics (QoS - Quality of Service), such as Throughput, is essential to understand the user experience connected to...
Throughput5GRSRPNSA
DOI 10.14209/sbrt.2022.1570800252
Paulo Sandino, Leonardo Henrique Gonsioroski, Amanda Beatriz Cunha dos Santos, Rogerio Silva
V2V (Vehicle to Vehicle), V2I (Vehicle to Infrastructure) and ITS (Intelligent Transportation System) is the approach to increasing the safety of the transport system. VANET (Vehicular Ad-Hoc Network) is a version of MANET (Mobile Ad-Hoc Network) in which Vehicles act as active nodes of the network. VANET is a highly mobile system. In this paper, a...
IEEE 802.11avehicle networksthroughput
DOI 10.14209/sbrt.2022.1570800914
Jefferson Leite, Igor dos Santos, Helder A. Pereira, Raul C. Almeida Jr
Neste artigo, objetiva-se analisar o desempenho do algoritmo de roteamento por série de potências, em termos de probabilidade de bloqueio de chamadas e número de iterações, em um cenário de rede ótica elástica, frente a duas variações do algoritmo de otimização bioinspirada utilizado em sua proposta original. Essa técnica se baseia em conceitos de...
Algoritmo de Roteamento por Série de PotênciasEnxame de PartículasRede Ótica ElásticaSimulação
DOI 10.14209/sbrt.2022.1570804884
Rafael Souza Azevedo, Leni Matos, Edson Cataldo
This paper aims to model the broadband mobile radio channel at indoor environment applying hidden Markov models to the main temporal dispersion parameters of the channel. When proving the feasibility of such modeling, the employed technique is shown to be a powerful option for the statistical characterization of the radio channel.
hidden Markov modelsIndoor radio channelBakis topology
DOI 10.14209/sbrt.2022.1570805722
Samya C Sena, Claudio J. Bordin Jr.
Os autocodificadores variacionais (VAEs) são redes neurais amplamente utilizadas em tarefas de aprendizado não supervisionado. Deduz-se neste trabalho uma extensão do algoritmo de equalização cega baseado em VAEs de Caciularu et al. para canais SIMO (Single-Input Multiple-Output). Propõe-se, ainda, uma formulação alternativa deste método com complexidade...
Equalização CegaAprendizado de MáquinaAutocodificadores Variacionais
DOI 10.14209/sbrt.2022.1570808158
Dayan A. Guimarães
An apparently definitive conclusion that can be drawn from the literature is that the calculation of the signal-to-noise ratio wall (SNRw) of detectors for spectrum sensing is not trivial. Conventionally, to make this calculation one has to find the expressions of the probabilities of detection and false alarm, and of the required number of samples to...
absolute value cumulating detectorenergy detectorLaplacian noisesignal-to-noise ratio wall
DOI 10.14209/sbrt.2022.1570808335
Roberto Kagami, Felipe Augusto Pereira de Figueiredo, Victor Hugo Lázaro Lopes, Luciano Leonel Mendes
The fast-moving evolution of new technologies is driving the future mobile networks to a challenging pursuit for high throughput and reliability. Emerging services will need precise indicators to address contrasting requisites and link adaptation is a cardinal element. The received signal measurements must provide complete information to perform...
link adaptationreliabilityACM6G
DOI 10.14209/sbrt.2022.1570808552
Luiz Casagrande, Evandro Cesar Vilas Boas, Guilherme Pedro Aquino
This work exploits vulnerabilities in an outdated version of Pandora FMS software through penetration testing (pentest) to demonstrate the relevance of updating systems, software, and applications to avoid cyber attacks. The practical approach is based on a pentest black box in an environment with an outdated version of the Pandora FMS. The SQL injection...
Cyber securityPandora FMSPentestSQL injection
DOI 10.14209/sbrt.2022.1570808562
Luiz Gustavo B. Guedes, Dayan A. Guimarães
Impulsive noise can be extremely harmful to the operation of electronic systems in general, and of communication systems in particular, as is the case of spectrum sensors in cognitive radio networks. The article evaluates the performance of spectrum sensing when impaired by impulsive noise. Two receivers are compared: a conventional one, which does not...
Spectrum sensingimpulsive noisedirect-conversion receiver
DOI 10.14209/sbrt.2022.1570810919
Edilaine Gonçalves Costa Faria, Deborah Bambil, Daniel Café, Francisco Assis de Oliveira Nascimento
This work compares 8 machine learning algorithms in terms of their average accuracy in classifying 30 plant species. The classification system has a proprietary implementation and uses leaf photos as input to the classification system. The results show that the Linear Discriminant Analysis algorithm proved to be the most appropriate for this specific...
Aprendizagem de máquinaClassificadores de folhasCerrado