Analysis of the current stage of development of artificial intelligence in telecommunications

DOI: 10.31673/2412-9070.2025.019552

Abstract

As you know, the basis of the telecommunications industry is network planning. It is the guarantor of the reliability of network connections and the effectiveness of communication depends on it, which is the basis of everything, from interactions in social networks to planning and conducting business operations. In this way, network planning ensures reliable and uninterrupted operation of the internal interactions of the network itself. And this, in turn, accelerates innovation processes within the telecommunications industry.
The appearance of 5G networks, as well as sixth-generation networks not on the horizon and the complexity of network infrastructures, once again emphasizes the importance of using the latest algorithms of artificial intelligence and machine learning. This makes it possible to solve the issue of network performance optimization. AI/ML have already become indispensable elements in networks today, capable of raising various aspects of communications to significant heights, as well as effectively solving the problems of network planning, diagnostics and optimization.
For the effective application of artificial intelligence (AI) in future generations of telecommunication networks, a wide range of neural networks is being researched quite intensively in this direction.
These are feedforward neural networks, deep neural networks, feedback networks, and convolutional neural networks. All of them use machine learning (ML) methods to model multiple relationships between system input and output and identify patterns in the data.
AI brings operational efficiency and network management to telecommunications. The level of interaction with customers is significantly increased, and the ability of artificial intelligence to analyze and forecast enables telecommunications companies to anticipate the urgent needs of their customers. Artificial intelligence algorithms allow you to predict and effectively fight various cyber threats, DDoS attacks, etc.

Keywords: artificial intelligence, telecommunications, 5G networks, machine learning, neural networks.