INCREASING THE EFFICIENCY OF MIMO 6G SMART NETWORKS

Authors

  • Mykola Vasylkivskyi Vinnytsia National Technical University
  • Oksana Horodetska Vinnytsia National Technical University
  • Oleksandr Stalchenko Vinnytsia National Technical University
  • Bohdan Klymchuk Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1999-9941-2023-56-1-92-101

Keywords:

6G radio access network, artificial intelligence, network bandwidth, transceiver functional parameter, wireless network, additive Gaussian white noise channel, intelligent massive MIMO, mode division access multiplexing

Abstract

Methods of increasing the efficiency of 6G radio access networks due to new design principles and optimization criteria of the MIMO structure have been determined. A flexible and versatile network with the possibility of expansion not only due to advances in existing technologies, but also due to numerous new technologies, such as ELAA, RIS, artificial intelligence, scanning, new materials, as well as new designs and structures of antennas, has been studied. The considered technologies will provide a universal set of tools for increasing network bandwidth. Advances in RF components, signal processing, and antenna communications that will affect various aspects of MIMO systems, including modulators, waveforms, and receiver designs, are explored. Functional parameters of transceivers based on electronic, photonic and combined technologies are considered. The use of intelligent radio channels, which significantly improve the quality of communication, system productivity, cell coverage, and the quality of communication at the cell boundary in wireless networks, was investigated, which was proven by numerous simulation results in various scenarios. A promising direction of research for super-massive MIMO 6G, which is relevant when using lattices with an extra-large aperture (ELAA), has been determined. The goal of ELAA is defined, which is that all users use mutually orthogonal channels with a per-user bandwidth similar to an additive Gaussian white noise channel. Intelligent massive MIMO in the 6G network based on AI has been studied, which facilitates learning and increases its efficiency. The OAM technology for high-speed transmission based on multiplexing access with mode separation is considered. The practical application of OAM technology in transit transmission between base stations, device-to-device (D2D) transmission, and communication between artificial satellites, where it is relatively easy to obtain the necessary axis alignment, has been studied. An analysis of the development of MIMO technology was carried out, taking into account the characteristics of the THz channel, in particular, a study of reconfigurable intelligent surfaces, which are characterized by the simplicity of the hardware architecture, low hardware complexity, low energy consumption and high efficiency of spectrum use, was carried out. The peculiarities of creating antenna arrays with an ultra-large aperture when applying new multiplexing schemes, using spatial depth information to separate streams or equipment using pre-coding, are determined. MIMO efficiency has been improved using artificial intelligence, which is capable of minimizing BER and increasing the spectral efficiency of massive MIMO of the millimeter range and significantly reducing computational complexity. A study of alternative MIMO technologies was carried out.

Author Biographies

Mykola Vasylkivskyi, Vinnytsia National Technical University

Candidate of Technical Sciences, Information Communication Systems and Technologies Department

Oksana Horodetska, Vinnytsia National Technical University

Candidate of Technical Sciences, Computer Techniques Department

Oleksandr Stalchenko, Vinnytsia National Technical University

Candidate of Technical Sciences, Information Communication Systems and Technologies Department

Bohdan Klymchuk, Vinnytsia National Technical University

student of the TKS-21m group, Information Communication Systems and Technologies Department

References

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Abstract views: 172

Published

2023-03-14

How to Cite

[1]
M. Vasylkivskyi, O. Horodetska, O. Stalchenko, and B. Klymchuk, “INCREASING THE EFFICIENCY OF MIMO 6G SMART NETWORKS”, ІТКІ, vol. 56, no. 1, pp. 92–101, Mar. 2023.

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