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Information and Telecommunication Sciences
Article . 2020 . Peer-reviewed
Data sources: Crossref
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RESEARCH OF THE QUALITY CHARACTERISTICS OF SELF-SIMILAR TRAFFIC OF A MOBILE COMMUNICATION NETWORK ON THE BASIS OF SOFTWARE RELEASE

Дослідження якісних характеристик самоподібного трафіку мережі мобільного зв'язку на основі релізації програмного забезпечення
Authors: Strelkovskaya, Irina V.; Solovskaya, Irina N.; Makoganiuk, Anastasiya O.; Balyk, Andrii D.;

RESEARCH OF THE QUALITY CHARACTERISTICS OF SELF-SIMILAR TRAFFIC OF A MOBILE COMMUNICATION NETWORK ON THE BASIS OF SOFTWARE RELEASE

Abstract

Background. At the planning and design stage of modern 3G/UMTS and 4G/LTE mobile networks, it is important to take into account that the traffic they serve is packet-based and has the property of self-similarity, which greatly complicates the determination of QoS characteristics.Objective. The aim of the paper is to find the quality characteristics of the QoS of self-similar traffic described using the Weibull distribution for the QS of the form WB/M/1/ using software release.Methods. Methods of functional analysis, queuing theory, linear programming were used for the solution.Results. The characteristics of the quality of service QoS self-similar traffic, namely the values of the average waiting time for service requests, the average number of requests in the queue and the average length of the queue of applications in the QS WB/M/1/.Conclusions. At the stage of frequency-territorial planning, design and further operation of 3G/UMTS and 4G/LTE networks, the found characteristics of the quality of service QoS will take into account the real values of traffic served by the base station NodeB (e-NodeB) for their optimal distribution of the service area.

Keywords

середня довжина черги заявок, самоподобный трафик, средняя длина очереди заявок, преобразование Лапласа-Стилтьеса, розподіл Вейбулла, average number of claims in a queue, середній час очікування заявки, середнє кількості заявок в черзі, характеристики качества обслуживания QoS, перетворення Лапласа-Стілтьєса, среднее время ожидания заявки, самоподібний трафік, Laplace-Stieltjes transformation, среднее количества заявок в очереди, система массового обслуживания, распределение Вейбулла, queuing system, система масового обслуговування, self-similar traffic, QoS characteristics, the average length of the queue of applications, Weibull distribution, характеристики якості обслуговування QoS, average waiting time for a claim

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold