Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.12872/371
Título : Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme
Autor : Nieto Chaupis, Huber
Palabras clave : Delta functions
Intelligent systems
Quality of service
Delta-Dirac functions
Dirac delta function
Free parameters
Gaussian profiles
Input-output
Probability of success
PSCC
Fecha de publicación : nov-2016
Editorial : Institute of Electrical and Electronics Engineers Inc.
Citación : Nieto Chaupis, H. (Octubre, 2016). Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme. En Technical Chapters Meeting (ETCM), Ecuador.
Resumen : We present a model of Probability of Success Call Completion (PSCC) from a typical I/O procedure and computationally tested through Monte Carlo simulation with Gaussian profiles. Under the I/O view the input and transfer functions are prepared without to abandon the randomness nature of the phenomenology. Because kernels are required by the I/O formulation, we have assumed that the Dirac-Delta functions play the role of kernels in according to the I/O representation. The results would indicate that under certain circumstances the formulation I/O is valid by a 10% of error respect to the Meo-Ajmone model. However, the weakness of the I/O approach would be in the extraction of a large number of free parameters, which do not necessarily encompasses the dynamic of phenomenon.
URI : http://repositorio.uch.edu.pe/handle/uch/371
http://dx.doi.org/10.1109/ETCM.2016.7750828
https://ieeexplore.ieee.org/document/7750828
Aparece en las colecciones: Conference Paper

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