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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Discrete and Continuous Models and Applied Computational Science</journal-id><journal-title-group><journal-title xml:lang="en">Discrete and Continuous Models and Applied Computational Science</journal-title><trans-title-group xml:lang="ru"><trans-title>Discrete and Continuous Models and Applied Computational Science</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2658-4670</issn><issn publication-format="electronic">2658-7149</issn><publisher><publisher-name xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">30323</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2022-30-1-5-20</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Performance analysis of queueing system model under priority scheduling algorithms within 5G networks slicing framework</article-title><trans-title-group xml:lang="ru"><trans-title>К анализу системы массового обслуживания для сети 5G с технологией NS и приоритетным управлением доступом к радиоресурсам</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4669-0898</contrib-id><name-alternatives><name xml:lang="en"><surname>Adou</surname><given-names>Kpangny Yves Berenger</given-names></name><name xml:lang="ru"><surname>Аду</surname><given-names>К. И. Б.</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD Student at the Department of Applied Probability and Informatics, Faculty of Science</p></bio><email>1042205051@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7876-2801</contrib-id><name-alternatives><name xml:lang="en"><surname>Markova</surname><given-names>Ekaterina V.</given-names></name><name xml:lang="ru"><surname>Маркова</surname><given-names>Е. В.</given-names></name></name-alternatives><bio xml:lang="en"><p>Candidate of Physical and Mathematical Sciences, Associate Professor at the Department of Applied Probability and Informatics, Faculty of Science</p></bio><email>markova-ev@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2482-4488</contrib-id><name-alternatives><name xml:lang="en"><surname>Zhbankova</surname><given-names>Elena A.</given-names></name><name xml:lang="ru"><surname>Жбанкова</surname><given-names>Е. А.</given-names></name></name-alternatives><bio xml:lang="en"><p>MSc student at the Department of Applied Probability and Informatics, Faculty of Science</p></bio><email>1032202159@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia (RUDN University)</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2022-04-01" publication-format="electronic"><day>01</day><month>04</month><year>2022</year></pub-date><volume>30</volume><issue>1</issue><issue-title xml:lang="en">VOL 30, NO1 (2022)</issue-title><issue-title xml:lang="ru">ТОМ 30, №1 (2022)</issue-title><fpage>5</fpage><lpage>20</lpage><history><date date-type="received" iso-8601-date="2022-02-25"><day>25</day><month>02</month><year>2022</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2022, Adou K.Y., Markova E.V., Zhbankova E.A.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2022, Аду К.И., Маркова Е.В., Жбанкова Е.А.</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="en">Adou K.Y., Markova E.V., Zhbankova E.A.</copyright-holder><copyright-holder xml:lang="ru">Аду К.И., Маркова Е.В., Жбанкова Е.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/30323">https://journals.rudn.ru/miph/article/view/30323</self-uri><abstract xml:lang="en"><p style="text-align: justify;">A new era is opening for the world of information and communication technologies with the 5G networks’ release. Indeed 5G networks appear in modern wireless systems as solutions to “traditional” networks’ inflexibility and lack of radio resources problems. Using these networks the operators can expand their services’ range at will and, therefore, manage daily operations by monitoring ‘key performance indicators’ (KPIs) - helping meet the quality of service (QoS) requirements much easily. To meet the QoS requirements 5G networks can be implemented alongside priority scheduling algorithms. This paper considers the operation of a wireless network slicing model under two scheduling algorithms. A comparative analysis of main performance measures is provided.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Переход к беспроводным сетям пятого поколения 5G ознаменовал новый этап развития информационных и коммуникационных технологий. Сети пятого поколения должны решить такие проблемы, как негибкость «традиционных» сетей и нехватка частотных радиоресурсов для качественного предоставления услуг. Предполагается, что, используя эти сети, мобильные операторы смогут значительно расширить спектр услуг и обеспечить требуемое качество их предоставления. Для удовлетворения требований к качеству обслуживания ( англ. Quality of Service - QoS) операторам необходимо выполнение «ключевых показателей эффективности» ( англ. Key Performance Indicators - KPI), описанных в стандартах связи. Для этой цели могут быть использованы алгоритмы приоритетного облуживания. В статье рассмотрена модель беспроводной сети 5G, поддерживающая технологию нарезки сети и реализующая управление доступом к сетевым радиоресурсам при помощи введения приоритетов. Изучена работа модели в рамках двух алгоритмов. Проведён сравнительный анализ основных показателей эффективности модели.</p></trans-abstract><kwd-group xml:lang="en"><kwd>5G networks</kwd><kwd>slicing</kwd><kwd>priority scheduling</kwd><kwd>retrial queueing</kwd><kwd>iteration method</kwd><kwd>QoS</kwd><kwd>KPI</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>сети 5G</kwd><kwd>нарезка сети NS</kwd><kwd>приоритетное управление доступом</kwd><kwd>СМО с повторными заявками</kwd><kwd>итерационный метод</kwd><kwd>QoS</kwd><kwd>KPIs</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>W. Lehr, F. Queder, and J. Haucap, “5G: A new future for Mobile Network Operators, or not?” Telecommunications Policy, vol. 45, no. 3, p. 102086, Jan. 2021. DOI: 10.1016/j.telpol.2020.102086.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Z. Ofir. “What will be the impact of 5g on network operators?” (Nov. 2021), [Online]. 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