Generation of Multifractal Radioelectric Spectrum Traffic

Cesar  Hernandez; Luis  Tuberquia-David

doi:10.6180/jase.201912_22(4).0012

Generation of Multifractal Radioelectric Spectrum Traffic

$Generation of Multifractal Radioelectric Spectrum Traffic$

Cesar Hernandez This email address is being protected from spambots. You need JavaScript enabled to view it.¹ and Luis Tuberquia-David²

¹Universidad Distrital Francisco José de Caldas, Technological Faculty, Calle 68D Bis A Sur # 49F - 70 Bloque 6, piso 1. Bogotá, Colombia
²Universidad Distrital Francisco José de Caldas, Faculty of Engineering, Carrera 7 # 40B–53. Bogotá, Colombia

Received: March 14, 2019
Accepted: August 6, 2019
Publication Date: December 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201912_22(4).0012

ABSTRACT

The growing use of communication networks in radio electric spectrum applications has reached a saturation point. Spectral prediction has gained importance, as several models have been studied to improve the accuracy of predicted traffic compared to real traffic. This research aims to generate a spectrum prediction method within a radio electric space. The obtained traffic is generated with the MFHW algorithm, which creates traces based on parameters given by the user: mean, Hurst parameter and spectrum width. The results revealed marginal errors of 0.04% for the Hurst parameter and 0.085% for the estimation of the multifractal spectrum width. The MFHW algorithm builds traces with self-similarity, long-range dependence (LRD), and multifractal characteristics, inherent to the behavior of the radioelectric spectrum. Hence, the method discussed in this paper can establish a modeling framework for the generation of traces applied to spectrum prediction based on multifractal analysis.

Keywords: Traffic Generation, Multifractal, Spectrum, Wireless Communication

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