sibsutisВестник СибГУТИThe Herald of the Siberian State University of Telecommunications and Information Science1998-6920СибГУТИ10.55648/1998-6920-2024-18-1-109-120sibsutis-762Research ArticleСтатьиАнализ характеристик алгоритмов прекодирования сигналов в системе MU-MIMO с оцениванием каналаNumerical Evaluation of the MU-MIMO Beamforming Performance with Channel Estimationhttps://orcid.org/0000-0003-1235-6314КалачиковА. А.KalachikovA. A.

Калачиков Александр Александрович, к.т.н., доцент кафедры радиотехнических систем

630102, Новосибирск, ул. Кирова, д. 86

Aleksander A. Kalachikov, Cand. of Sci. (Engineering), Lecturer of the Department of Radio Systems 

630102, Novosibirsk, Kirov St. 86

kalatch@sibguti.ruСибирский государственный университет телекоммуникаций и информатики (СибГУТИ)РоссияSiberian State University of Telecommunications and Information Science (SibSUTIS)Russian Federation202417122023181109120Copyright © Калачиков А.А., 20242024Калачиков А.А.Kalachikov A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.sibsutis.ru/jour/article/view/762

В статье представлены результаты имитационного моделирования алгоритма прекодирования ZF с использованием группирования абонентов по алгоритмам ортогонального выбора и максимизации взаимной информации в нисходящей системе MUMIMO. При количестве пользователей большем, чем количество антенн на базовой станции, возникает взаимная корреляция между каналами пользователей, что снижает суммарную спектральную эффективность системы MU-MIMO. Для снижения эффекта взаимной корреляции применяется подбор пользователей на основе максимальной ортогональности между ними. Суммарная спектральная эффективность в системе MU-MIMO зависит от условий реального распространения сигналов, и для каналов с пространственной корреляцией необходимо использовать выбор подмножества абонентов с низкой корреляцией между их векторами каналов. В данной статье для исследования эффективности выбора подмножества абонентов используется модель канала с открытым исходным кодом, позволяющая получать реалистичные реализации канала.

This paper presents the numerical evaluation of the ZF beamforming algorithm and DFT precoding using the LS channel estimation in the multiuser multiantenna (MU-MIMO) downlink system. The sum rate performance depending on a number of users are presented. The arising inter user correlation degrades the sum rate (spectral efficiency) performance of multiuser MIMO system especially in scenarios where the number of users is larger than the number of antennas at the BS. For MIMO channel simulation the QuaDRiGa channel model reflecting the real propagation conditions is used. The obtained performance of MU-MIMO ZF precoding in spatially correlated channel are compared with DFT precoding based on the empirical cumulative density function of the sum rate of multiple users. Numerical results show that the ZF precoder outperforms the DFT precoder in channel with less spatial correlation. The DFT precoder in spatially more correlated channel has advantage over ZF precoder.

 

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The authors declare that there are no conflicts of interest present.