Spline-Extrapolation Method in Traffic Forecasting in 5G Networks
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Дата
2019
Автори
Стрелковська, Ірина Вікторівна
Стрелковська, І. В.
Стрелковская, Ирина Викторовна
Strelkovska, Iryna V.
Solovska, Iryna M.
Solovska, Iryna M.
Макоганюк, Анастасія Олегівна
Makoganiuk, Anastasiya
Назва журналу
ISSN журналу
Назва тому
Видавець
Анотація
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.
Бібліографічний опис
Strelkovska I. V. Spline-Extrapolation Method in Traffic Forecasting in 5G Networks / I. V. Strelkovska, I. N. Solovska, A.O. Makoganiuk // Journal of Telecommunications and Information Technology. - №3. - 2019. - Р. 8-16. https://doi.org/10.26636/jtit.2019.134719
Ключові слова
quality of service, self-similar traffic, spline functions, error of recover, Research Subject Categories::LAW/JURISPRUDENCE
Цитування
Strelkovska I. V. Spline-Extrapolation Method in Traffic Forecasting in 5G Networks / I. V. Strelkovska, I. N. Solovska, A.O. Makoganiuk // Journal of Telecommunications and Information Technology. - №3. - 2019. - Р. 8-16. https://doi.org/10.26636/jtit.2019.134719