Analysis of trends in development and a model for evaluating the performance characteristics of wireless networks used in special purpose cognitive radio systems

The article presents a comprehensive analysis of current trends in the development and a model for evaluating the performance characteristics of wireless networks in cognitive radio systems for special purposes. The study focuses on key directions in the development of these technologies, their advantages and limitations, as well as their potential applications in critical sectors. Particular attention is given to the analysis of contemporary scientific research and developments in the field of cognitive radio, especially for military systems, where communication reliability and security are of paramount importance.The article examines the fundamental principles of cognitive radio, such as dynamic spectrum access, adaptability to changing environments, and intelligent resource management. It analyzes the technologies used in cognitive radio systems for special purposes, including software-defined radio (SDR), cognitive radio networks (CRNs), and communication security technologies.The main development trends identified during the study include the use of artificial intelligence and machine learning to optimize network performance, the evolution of heterogeneous networks to ensure greater flexibility and reliability, and the enhancement of security measures to counter cyberattacks and electronic warfare.A key feature of network-centric military communication systems is the rapid and guaranteed access of users to communication services. This work proposes a model for selecting optimal parameters of a self-organizing cognitive communication network that ensures the required availability for its users. The model enables the selection of optimal coverage and channel resource parameters to achieve the desired accessibility of the cognitive communication network.The article also explores the prospects of practical application of cognitive radio in specialized systems, highlighting its potential to provide reliable and efficient communication in complex and dynamic environments. The findings emphasize the importance of continued research in this area to develop more effective and secure cognitive radio systems.