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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ntv</journal-id><journal-title-group><journal-title xml:lang="ru">Научно-технический вестник информационных технологий, механики и оптики</journal-title><trans-title-group xml:lang="en"><trans-title>Scientific and Technical Journal of Information Technologies, Mechanics and Optics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2226-1494</issn><issn pub-type="epub">2500-0373</issn><publisher><publisher-name>Университет ИТМО</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17586/2226-1494-2022-22-2-392-400</article-id><article-id custom-type="elpub" pub-id-type="custom">ntv-175</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МАТЕМАТИЧЕСКОЕ И КОМПЬЮТЕРНОЕ МОДЕЛИРОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MODELING AND SIMULATION</subject></subj-group></article-categories><title-group><article-title>Моделирование пропускной способности подвижных систем радиосвязи с применением методов пространственного кодирования сигнала</article-title><trans-title-group xml:lang="en"><trans-title>Throughput modeling of cellular network systems with spatial precoding</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9445-5062</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Медведев</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Medvedev</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Медведев Артем Сергеевич — аспирант </p><p> Университет ИТМО </p></bio><bio xml:lang="en"><p>Artem S. Medvedev — PhD Student </p><p> Saint Petersburg, 197101 </p></bio><email xlink:type="simple">art236960@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2220-252X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Иванов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ivanov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Иванов Вячеслав Вячеславович — аспирант</p><p> Санкт-Петербург, 197101  </p></bio><bio xml:lang="en"><p> Viacheslav V. Ivanov — PhD Student </p><p> Saint Petersburg, 197101 </p></bio><email xlink:type="simple">ivanov@niuitmo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Университет ИТМО</institution><country>Россия</country></aff><aff xml:lang="en"><institution>ITMO University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>14</day><month>12</month><year>2024</year></pub-date><volume>22</volume><issue>2</issue><fpage>392</fpage><lpage>400</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Медведев А.С., Иванов В.В., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Медведев А.С., Иванов В.В.</copyright-holder><copyright-holder xml:lang="en">Medvedev A.S., Ivanov V.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ntv.elpub.ru/jour/article/view/175">https://ntv.elpub.ru/jour/article/view/175</self-uri><abstract><p>В работе рассмотрены системы беспроводной сотовой радиосвязи вдоль автомобильных дорог с использованием технологии пространственного кодирования сигнала в многоантенных системах (Multiple-input Multiple-output, MIMO), в частности пространственное мультиплексирование и разнесенный прием. Предложен метод оценки производительности многоантенных систем с учетом многолучевого распространения сигнала в радиоканале и взаимной ориентации антенн. Метод. Применен метод переноса результатов рассчитанной корреляционной матрицы из программной модели радиоканала в программный симулятор физического уровня протокола сотовой связи. Основные результаты. Сформирована методика оценки производительности многоантенных систем при применении пространственного мультиплексирования для придорожных сетей сотовой связи. Исследованы корреляционные свойства канала между антеннами двух придорожных узлов, каждый из которых состоит из пары ортогональных антенн линейной поляризации, и абонентской станции c аналогичной парой антенн. Разработана модель предсказания для более точного определения корреляционной матрицы в симуляторах физического уровня по сравнению с вариантами подобных матриц, предложенных в спецификациях. Предложенное решение потенциально может быть расширено до устранения необходимости применения программных моделей радиоканала. Практическая значимость. Полученные результаты показали, что для систем, разработанных правильным образом, пропускная способность будет приближена к значениям при низкой пространственной корреляции. В этом случае не требуется рассматривать предложенный спецификациями случай высокой корреляции. Показано, что каналы между парами антенн (передатчиком и приемником) вносят в сигнал подобные друг другу поляризационные изменения (одинаковое вращение плоскости поляризации сигнала при повороте антенн). Сигналы будут сильно коррелированы, что необходимо учитывать при разработке систем с применением пространственного кодирования.</p></abstract><trans-abstract xml:lang="en"><p>The paper discusses wireless cellular radio communication systems along highways using Multiple-input Multiple-output (MIMO, multiple transmit / receive antennas) technologies, in particular spatial multiplexing and diversity reception, and also proposes a model for assessing the potential gains in a multi-antenna system from MIMO, which takes into account the multipath of the channel and the relative orientation of the antennas. The work was carried out by transferring the results of the calculated correlation matrix from stochastic channel model into the physical layer simulator of the cellular system protocol. A methodology for evaluating the performance of multi-antenna systems using spatial multiplexing for roadside cellular networks has been developed. The correlation properties of the channel between the antennas of the two roadside units (RSU), each of which has two perpendicular linearly polarized antennas and a user terminal with the same two orthogonally polarized antennas, have been investigated. A prediction scheme for the type of correlation matrix has been developed, which makes it possible to more accurately set the correlation matrix in simulators of the physical layer. The obtained results showed that for properly designed systems the throughput will be close to the throughput of low spatial correlation, and the case of high correlation proposed by the standard does not need to be modeled. It is also shown that the channels between Tx / Rx pairs that undergo similar polarization changes (the same relative spatial rotation of the antennas) will be strongly correlated, which must be taken into account when developing MIMO systems.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>MIMO</kwd><kwd>поляризация</kwd><kwd>радиоканал</kwd><kwd>пространственное мультиплексирование</kwd><kwd>разнесенный прием</kwd></kwd-group><kwd-group xml:lang="en"><kwd>MIMO</kwd><kwd>polarization</kwd><kwd>radio channel</kwd><kwd>spatial multiplexing</kwd><kwd>diversity reception</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Крюков Я.В., Покаместов Д.А., Рогожников Е.В., Новичков С.А., Лаконцев Д.В. 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