Advanced search ?

Object

Download

Title: Spline-Extrapolation Method in Traffic Forecasting in 5G Networks, Journal of Telecommunications and Information Technology, 2019, nr 3

Creator:

Makoganiuk, Anastasiya ; Solovskaya, Irina ; Strelkovskaya, Irina

Date:

2019, nr 3

Resource Type:

artykuł

Description:

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.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2100

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

quality of service error of recovery self-similar traffic spline functions

Object collections:

Last modified:

Oct 23, 2019

In our library since:

Oct 23, 2019

Number of object content hits:

138

All available object's versions:

https://bc.itl.waw.pl/publication/2390

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Strelkovskaya, Irina; Solovskaya, Irina; Makoganiuk, Anastasiya, Spline-Extrapolation Method in Traffic Forecasting in 5G Networks, Journal of Telecommunications and Information Technology, 2019, nr 3 Oct 23, 2019

Objects Similar
Traffic Type Influence on Performance of OSPF QoS Routing, Journal of Telecommunications and Information Technology, 2013, nr 3

Kaczmarek, Sylwester Wolff, Maciej Czarkowski, Michał

2013, nr 3
artykuł
Telecom Operator’s Approach to QoE, Journal of Telecommunications and Information Technology, 2022, nr 2

Zwierzykowski, Piotr Kowalik, Karol Partyka, Bartosz Andruloniw, Paweł

2022, nr 2
artykuł
Subjective Assessment for Standard Television Sequences and Videotoms - H.264/AVC Video Coding Standard, Journal of Telecommunications and Information Technology, 2015, nr 1

Trzcianowski, Łukasz

2015, nr 1
artykuł
Concept for a Measurement Management System for Access Service to the Internet, Journal of Telecommunications and Information Technology, 2016, nr 3

Uhl, Tadeus Klink, Janusz H. Podolska, Maria J.

2016, nr 3
artykuł
Comparison of Multicast Algorithm Evaluation Results in Low and High Multicast Saturation Environments, Journal of Telecommunications and Information Technology, 2019, nr 3

Zwierzykowski, Piotr Stachowiak, Krzysztof

2019, nr 3
artykuł
Quality Aware Virtual Service Delivery System, Journal of Telecommunications and Information Technology, 2013, nr 3

Kwiatkowski, Jan Fraś, Mariusz

2013, nr 3
artykuł
The IP QoS System, Journal of Telecommunications and Information Technology, 2011, nr 3

Burakowski, Wojciech Niewiadomska-Szynkiewicz, Ewa Śliwiński, Jarosław Tarasiuk, Halina Batalla, Jordi Mongay Pyda, Piotr Bęben, Andrzej

2011, nr 3
artykuł
Impact of Signaling System Performance on QoE in Next Generation Networks, Journal of Telecommunications and Information Technology, 2009, nr 4

Burakowski, Wojciech Śliwiński, Jarosław Tarasiuk, Halina Batalla, Jordi Mongay

2009, nr 4
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information