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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">27528</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2021-29-3-242-250</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">Towards the analysis of the performance measures of heterogeneous networks by means of two-phase queuing systems</article-title><trans-title-group xml:lang="ru"><trans-title>К анализу показателей эффективности гетерогенных сетей с помощью двухфазных систем массового обслуживания</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8561-7514</contrib-id><name-alternatives><name xml:lang="en"><surname>Rykova</surname><given-names>Tatiana V.</given-names></name><name xml:lang="ru"><surname>Рыкова</surname><given-names>Т. В.</given-names></name></name-alternatives><bio xml:lang="en"><p>Master of Science in Applied Mathematics and Informatics (PFUR), Master of Science in Information Technology (Tampere University of Technology), researcher at Fraunhofer Heinrich Hertz Institute (Berlin, Germany)</p></bio><email>tatiana.rykova@hhi.fraunhofer.de</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="2021-09-30" publication-format="electronic"><day>30</day><month>09</month><year>2021</year></pub-date><volume>29</volume><issue>3</issue><issue-title xml:lang="en">VOL 29, NO3 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 29, №3 (2021)</issue-title><fpage>242</fpage><lpage>250</lpage><history><date date-type="received" iso-8601-date="2021-09-30"><day>30</day><month>09</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Rykova T.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Рыкова Т.В.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Rykova T.V.</copyright-holder><copyright-holder xml:lang="ru">Рыкова Т.В.</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/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/27528">https://journals.rudn.ru/miph/article/view/27528</self-uri><abstract xml:lang="en"><p style="text-align: justify;">Due to a multistage nature of transmission processes in heterogeneous 4G, 5G mobile networks, multiphase queuing systems become one of the most suitable ways for the resource allocation algorithms analysis and network investigation. In this paper, a few scientific papers that approached heterogeneous networks modelling by means of multiphase queuing systems are reviewed, mentioning the difficulties that arise with this type of analytical analysis. Moreover, several previously investigated models are introduced briefly as an example of two-phase systems of finite capacity and a special structure in discrete time that can be used for analysing resource allocation schemes based on the main performance measures obtained for wireless heterogeneous networks. One of the model presents a two-phase tandem queue with a group arrival flow of requests and a second phase of the complex structure that consists of parallel finite queues. The second model is a two-phase tandem queue with Markov modulated geometric arrival and service processes at the first phase and exhaustive service process at the second phase, which solves a cross-layer adaption problem in a heterogeneous network.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Благодаря многоступенчатому характеру процессов передачи в гетерогенных мобильных сетях 4G, 5G, многофазные системы массового обслуживания становятся одним из наиболее подходящих способов анализа алгоритмов распределения ресурсов и исследования сетей. В этой статье приводится обзор нескольких научных работ, посвящённых моделированию гетерогенных сетей с помощью многофазных систем массового обслуживания, и упоминаются трудности, возникающие при этом типе аналитического анализа. Более того, несколько ранее исследованных моделей кратко представлены в качестве примера двухфазных систем конечной ёмкости и специальной структуры в дискретном времени, которые можно использовать для анализа схем распределения ресурсов на базе основных показателей производительности, полученных для беспроводных гетерогенных сетей. Одна из моделей представлена двухфазной тандемной очередью с групповым потоком поступающих запросов, а вторая - фазой сложной структуры, состоящей из параллельных конечных очередей. Вторая модель представляет собой двухфазную тандемную очередь с марковскими модулированными геометрическими процессами поступления и обслуживания на первом этапе и полным процессом обслуживания на втором этапе, что решает проблему межуровневой адаптации в гетерогенной сети.</p></trans-abstract><kwd-group xml:lang="en"><kwd>two-phase model</kwd><kwd>queuing system</kwd><kwd>Markov chain</kwd><kwd>resource allocation</kwd><kwd>heterogeneous networks</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>двухфазная модель</kwd><kwd>система массового обслуживания</kwd><kwd>цепь Маркова</kwd><kwd>распределение ресурсов</kwd><kwd>гетерогенная сеть</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>“ITU-R M.2134. Requirements Related to Technical Performance for IMT-Advanced Radio Interface(s),” 2018.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>E. Medvedeva, A. Gorbunova, Y. Gaidamaka, and K. 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