- Tytuł:
- Spline-Extrapolation Method in Traffic Forecasting in 5G Networks
- Autorzy:
-
Strelkovskaya, Irina
Solovskaya, Irina
Makoganiuk, Anastasiya - Powiązania:
- https://bibliotekanauki.pl/articles/309401.pdf
- Data publikacji:
- 2019
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
quality of service
self-similar traffic
spline functions
error of recovery - Opis:
- This paper considers the problem of predicting self-similar traffic with a significant number of pulsations and the property of long-term dependence, using various spline functions. The research work focused on the process of modeling self-similar traffic handled in a mobile network. A splineextrapolation method based on various spline functions (linear, cubic and cubic B-splines) is proposed to predict selfsimilar traffic outside the period of time in which packet data transmission occurs. Extrapolation of traffic for short- and long-term forecasts is considered. Comparison of the results of the prediction of self-similar traffic using various spline functions has shown that the accuracy of the forecast can be improved through the use of cubic B-splines. The results allow to conclude that it is advisable to use spline extrapolation in predicting self-similar traffic, thereby recommending this method for use in practice in solving traffic prediction-related problems.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2019, 3; 8-16
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł