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This article is cited in 3 scientific papers (total in 3 papers)
Controllable queuing system with elastic traffic and signals for analyzing network slicing
A. S. Vlaskinaa, S. A. Burtsevaa, I. A. Kochetkovaab, S. Ya. Shorginb a Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
b Federal Research Center “Computer Science and Сontrol” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
A controllable queuing system with impatient elastic traffic and minimum bit rate guarantee transmission is built to analyze the dynamic network slicing in wireless network. Resource management of allocation between two segments is carried out by controller signal and in the case of an idle resource of one segment and waiting users of another. Depending on the state of the system, a decision is made how to allocate the resource. The decision-making is based on the efficiency indicators of slicing taking into account the resource usage of each of the segments, deviation from the recommended “initial” slicing, and additional signal load from the controller. The corresponding objective control function is proposed and an iterative algorithm for calculating the parameters of the optimal resource allocation policy is applied.
Keywords:
5G, network slicing, controllable queuing system, Markov decision process, elastic traffic.
Received: 15.07.2022
Citation:
A. S. Vlaskina, S. A. Burtseva, I. A. Kochetkova, S. Ya. Shorgin, “Controllable queuing system with elastic traffic and signals for analyzing network slicing”, Inform. Primen., 16:3 (2022), 90–96
Linking options:
https://www.mathnet.ru/eng/ia805 https://www.mathnet.ru/eng/ia/v16/i3/p90
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Abstract page: | 100 | Full-text PDF : | 49 | References: | 18 |
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