A Two-Dimensional Geometry-based Stochastic Model (Rapporti tecnici/preprint/working paper)

Type
Label
  • A Two-Dimensional Geometry-based Stochastic Model (Rapporti tecnici/preprint/working paper) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Santi, Paolo; Mammasis, Konstantinos (2011)
    A Two-Dimensional Geometry-based Stochastic Model
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Santi, Paolo; Mammasis, Konstantinos (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID_PUMA: cnr.iit/2011-TR-004. Area di valutazione 15a - Scienze e tecnologie per una società dell'informazione e della comunicazione (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://puma.isti.cnr.it//linkdoc.php?idauth=18&idcol=17&icode=2011-TR-004&authority=cnr.iit&collection=cnr.iit&langver=it (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIT, Pisa (literal)
Titolo
  • A Two-Dimensional Geometry-based Stochastic Model (literal)
Abstract
  • In this paper, we undertake the problem of deriving the power angular scattering response (PASR) resulting from a Gaussian scatterer distribution. Differently from previous work, the scatter cluster can be located arbitrarily in the vicinity of the mobile unit. Furthermore, for the considered scatter geometry we derive both the angular and distance statistics at the observation point, allowing for the first time a theoretical characterization of PASR. A major byproduct of our analysis is that the Gaussian scatterer hypothesis is formally shown to produce a Gaussian power angular spectrum in a macrocell environment, which is in accordance with existing measurements. (literal)
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