Modeling and Monte Carlo simulation of call completion success probabilities under the input-output scheme

• Autor: Nieto Chaupis, Huber
• Formato: objeto de conferencia
• Fecha de Publicación: 2016
• Institución: Universidad de Ciencias y Humanidades
• Repositorio: UCH-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.uch.edu.pe:uch/371
• Enlace del recurso: http://repositorio.uch.edu.pe/handle/uch/371; http://dx.doi.org/10.1109/ETCM.2016.7750828; https://ieeexplore.ieee.org/document/7750828
• Nivel de acceso: acceso embargado
• Materia: Delta functions; Intelligent systems; Quality of service; Delta-Dirac functions; Dirac delta function; Free parameters; Gaussian profiles; Input-output; Probability of success; PSCC

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.