DOI: https://doi.org/10.36719/3104-4735/3/8-13

Development Directions and Perspectives of Modern Telecommunications Systems

Gabil Adiyev¹ , Elman Imanov^1* , Ruslan Iskanderov¹

Abstract. In recent years, artificial intelligence technologies have demonstrated significant success in solving a number of tasks in various telecommunications systems. The application of artificial intelligence for predicting the load of telecommunications networks and modeling their future development allows for timely decision-making and improving the quality of service for subscribers. The article reveals the essence, nature, and characteristics of artificial intelligence technologies, presenting the results of substantiating and systematizing the trends in the development of artificial intelligence and its application areas in the field of telecommunications systems. It also highlights the main directions of development of generative artificial intelligence and the key areas of its application in the globalizing world. The article also outlines the tasks for applying artificial intelligence in telecommunications systems in the Republic of Azerbaijan. In the field of telecommunications, artificial intelligence approaches are briefly outlined, traditional methods and modern approaches are compared, and how they are applied in wireless communication is discussed. These methods include fuzzy logic, neural networks, reinforcement learning, and artificial intelligence techniques used in mobile communication. Some key and terminological issues are addressed, and it is explained how these issues will contribute to the stable operation of 5G and 6G mobile networks in the future, as well as the provision of various services through numerous mobile devices and data. An analysis of artificial intelligence methods used to improve the performance of mobile communication has been conducted.

Keywords: Artificial Intelligence, mobile communication, neural network, complex network, resource, mobile traffic