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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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