QUEUING SYSTEM WITH SIGNALS FOR DYNAMIC RESOURCE ALLOCATION FOR ANALYZING NETWORK SLICING IN 5G NETWORKS [СИСТЕМА МАССОВОГО ОБСЛУЖИВАНИЯ С УПРАВЛЯЕМЫМ ПО СИГНАЛАМ ПЕРЕРАСПРЕДЕЛЕНИЕМ ПРИБОРОВ ДЛЯ АНАЛИЗА НАРЕЗКИ РЕСУРСОВ СЕТИ 5G]

Network slicing is one of the key technologies of fifth generation wireless networks with an ever-increasing number of users and services. A feature of this technology is the ability to organize logically isolated segments of radio resources for the specific requirements of the operator and its users, and the redistribution of the resource volumes between the segments is possible, but only at the moments of the controller accessing them. In this work, a mathematical model is built for two classes of impatient elastic traffic with a minimum rate guarantee transmission by queuing system with queues and signals that control resource redistribution. Formulas are given for calculating the parameters of the efficiency of resource redistribution - the coefficient of compliance with the initial distribution of the resource, the success rate of resource redistribution, and the coefficient of resource utilization. © 2021 Federal Research Center "Computer Science and Control" of Russian Academy of Sciences. All rights reserved.

Authors
Kochetkova I.A. 1, 2 , Vlaskina A.S. 1 , Vu N.N. 1 , Shorgin V.S.2
Publisher
Федеральный исследовательский центр "Информатика и управление" РАН
Number of issue
3
Language
Russian
Pages
91-97
Status
Published
Volume
15
Year
2021
Organizations
  • 1 Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
  • 2 Federal Research Center “Computer Science and Control”, The Russian Academy of Sciences, 44-2 Vavilov Str., Moscow, 119133, Russian Federation
Keywords
5G; Dynamic resource allocation; Elastic traffic; Network slicing; Queuing system with signals
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84729/
Share

Other records

Sobornov K.O., Korotkov I.P., Yakovlev D.V., Kulikov V.A., Kudriavtsev K.Yu., Kolecnik V.F.
Геология нефти и газа. Всероссийский научно-исследовательский геологический нефтяной институт, Министерство природных ресурсов и экологии РФ, Федеральное агентство по недропользованию, ОАО "Газпром". Vol. 2021. 2021. P. 73-88