The use of artificial intelligence in fifth-generation and subsequent generation communication networks

DOI: 10.31673/2412-9070.2025.061203

Authors

  • Н. В. Галаган, (Galagan N.) State University of Information and Communication Technologies, Kyiv
  • В. І. Кравченко, (Kravchenko V.) State University of Information and Communication Technologies, Kyiv
  • Н. В. Блаженний, (Blazhennyi N.) State University of Information and Communication Technologies, Kyiv
  • О. О. Сазонов, (Sazonov O.) State University of Information and Communication Technologies, Kyiv

DOI:

https://doi.org/10.31673/2412-9070.2025.061203

Abstract

The article is devoted to the consideration of the technology of using artificial intelligence in communication networks of the fifth and subsequent generations, where it is necessary to first of all evaluate the basic principles, key tasks, as well as the most modern approaches and solutions. It is proved that the use of artificial intelligence forms a reaction to the real world factor. At the same time, in infocommunication networks the requirements of very reliable networks with ultra-low delays must be implemented, while ensuring the growing amount of traffic of inter-machine communications in the infocommunication network.
Networks of the next generations must control and manage a large number of modern and innovative services, to which high requirements are imposed on the quality of user service, as well as the requirements of the tactile Internet, the implementation of sensitive perception, the implementation of the telepresence effect.
Therefore, when considering the aspects of the feasibility of using artificial intelligence, it is first necessary to consider its basic properties.
The innovative approach used at the Department of Mobile and Video Information Technologies to improve existing and promising artificial intelligence models that will be used in fifth-generation and subsequent generation networks is highlighted. An innovative model is considered, which additionally includes three or more stages of reinforcement learning aimed at identifying improved reasoning models and matching them with human preferences, as well as three or more stages of controlled fine-tuning, which serve as the basis for the ability to reason and not reason in the model, and the gain function and loss function are taken into account at each stage of functioning, self-checking, reflection and generation of long chains of thoughts of the artificial intelligence model are carried out.

Keywords: artificial intelligence; Internet of Things; "smart home"; network service; tactile Internet; radio access networks.

Published

2025-12-30

Issue

Section

Articles