Logo do repositório
Tudo no RIUFPA
Documentos
Contato
Sobre
Ajuda
  • Português do Brasil
  • English
  • Español
  • Français
Entrar
Novo usuário? Clique aqui para cadastrar. Esqueceu sua senha?
  1. Início
  2. Pesquisar por Assunto

Navegando por Assunto "Modelo ARIMA (Autorregressivo integrado e de média móvel)"

Filtrar resultados informando as primeiras letras
Agora exibindo 1 - 1 de 1
  • Resultados por página
  • Opções de Ordenação
  • Carregando...
    Imagem de Miniatura
    ItemAcesso aberto (Open Access)
    Modelagem canais de comunicações móveis com a utilização de series temporais e geoestatísticas
    (Universidade Federal do Pará, 2013-03-12) ROZAL, Edilberto Oliveira; QUEIROZ, Joaquim Carlos Barbosa; http://lattes.cnpq.br/4383935463464893; PELAES, Evaldo Gonçalves; http://lattes.cnpq.br/0255430734381362
    This work presents the results of propagation channel modeling, based on multivariate time series models using data collected in measurement campaigns and the main characteristics of urbanization in the city of Belem-PA. Transfer function models were used to evaluate effects on the time series of received signal strength (dBm) which was used as the response variable and as explanatory variables of the height of buildings and distances between buildings. As time series models disregard to the possible correlations between neighboring samples, we used a geostatistical model to establish the correctness of this model error. This phase of the work consisted of a set of procedures necessary to geostatistical techniques. Aiming at the analysis on two dimensions for data spatially distributed, with respect to the interpolation of surfaces generated from georeferenced samples obtained from residues of received signal power computed using the model series. The results obtained with the proposed model showed an excellent performance, with mean square error in the order of 0.33 dB compared to the measured signal, considering the data of the eleven routes from the center of the city of Belém/Pa. From the map of the spatial distribution of the received signal strength (dBm), one can easily identify areas below or above dimensional in terms of this variable, that is benefited or damaged compared with the signal reception, which may result in a greater investment of the local operator (concessionaire mobile phone) in those regions where the signal is weak.
Logo do RepositórioLogo do Repositório
Nossas Redes:

DSpace software copyright © 2002-2025 LYRASIS

  • Configurações de Cookies
  • Política de Privacidade
  • Termos de Uso
  • Entre em Contato
Brasão UFPA