Generalized fractional Gaussian noise and its application to traffic modeling

Ming Li

Physica A: Statistical Mechanics and its Applications, 2021, vol. 579, issue C

Abstract: The highlights in this paper are in two aspects. First, we introduce a type of novel fractional noise termed generalized fractional Gaussian noise (gfGn). Its autocorrelation function, power spectrum density function, and the fractal dimension are given. The second aspect is in the case study using gfGn for modeling real traffic traces to exhibit that the gfGn model is more accurate than the conventional fractional Gaussian noise (fGn) one in traffic modeling.

Keywords: Fractional noise; Fractional Gaussian noise; Long-range dependence; Teletraffic modeling (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:579:y:2021:i:c:s0378437121004118

DOI: 10.1016/j.physa.2021.126138

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