Vol. 15, no.4, 2023
РусскийEnglish
INFORMATION TECHNOLOGIES
EVALUATION OF NOISE IMMUNITY OF MULTI-USER MIMO SYSTEMS WITH IMPERFECT CHANNEL ESTIMATION AND OTHER DISTORTIONS
Artem Shinkevich, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin, Andrey A Brovkin
Tomsk State University of Control Systems and Radioelectronics, https://tusur.ru/
Tomsk 634050, Russian Federation
E-mail: a.shinkevich00@gmail.com, dmaltomsk@mail.ru, kryukov.tusur@gmail. com,udzhon@mail.ru, shalingn1120@gmail.com, soldierbrovkin@gmail.com
Received August 09, 2023, peer-reviewed August 16, 2023, accepted August 23, 2023, published December 06, 2023.
Abstract: The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial correlation of the channel results in a decrease in the number of independent information transmission streams. These factors can significantly reduce the performance of multi- antenna systems. For this reason, operating MIMO communication systems under non-ideal conditions is a topical issue. The paper examines the performance of various beamforming algorithms in such conditions. It describes the communication systems with MIMO, beamforming algorithms, and distorting effects. The paper includes a developed simulation model of the communication channel with MU-MIMO accounting for a variety of distorting factors. The results demonstrate the bit-error probability dependences for different simulation scenarios.
Keywords: MIMO, MU-MIMO, digital precoding, hybrid beamforming, imperfect CSI, Los channel, spatial correlation
UDC 621.396.4
RENSIT, 2023, 15(1):441-452e DOI: 10.17725/rensit.2023.15.441
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/520/15(4)441-452e.pdf