Analysis of Wireless Communication Protocols for Enhancing the Efficiency of Cognitive Telecommunications Networks Functionality

Authors

DOI:

https://doi.org/10.31861/sisiot2024.1.01005

Keywords:

cognitive radio, IEEE protocols, standards, specifications, adaptability

Abstract

In the study, modern protocols and their specifications were analyzed and systematized. Advantages and disadvantages were identified, which are necessary for expanding the application possibilities of cognitive radio systems. Through the analysis of the technical characteristics of cognitive radio systems, the main factors of stagnation in various technological capabilities were discovered. It has been proven that IEEE protocols provide a critically important foundation for the standardization of cognitive radio systems, facilitating their compatibility and efficient use of the radio frequency spectrum. It has been substantiated that cognitive radio systems include optimization subsystems to ensure reliable communication. Specifically, the cognitive analysis subsystem is essential for effective monitoring of the radio frequency spectrum, enabling frequency adaptation in response to spectrum occupancy. The cognitive decision-making subsystem ensures optimal resource use through rational frequency distribution and transmission parameter adjustment. Adaptation and routing play a key role in ensuring reliable data exchange, while resource management and security measures strengthen the system's integrity and protection. The research demonstrated that the multi-level integration of subsystems opens new possibilities for enhancing the efficiency of radio frequency spectrum use in dynamically changing conditions. Thus, the implementation of modern protocols and technologies in cognitive radio systems is an important step towards creating more flexible and adaptive networks capable of effectively responding to changing conditions and user requirements. The analysis presented in the article demonstrates the necessity and effectiveness of applying innovative wireless communication protocols. These protocols significantly enhance throughput capacity and spectral efficiency, which, in turn, contribute to the optimization of network operations in "smart radio" systems across various applications – from military to commercial.

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Author Biographies

  • Volodymyr Lysechko, Ivan Kozhedub National University of the Air Force

    Dr Sc. Professor, Scientific Center of the Air Force Ivan Kozhedub Kharkov National University of Air Forces, Kharkiv, Ukraine. Research interests include modeling of wireless intelligent telecommunication networks, improving immunity, methods of managing complex structured data in distributed telecommunication systems, spectral monitoring, neural networks, computer modeling, organization of databases, innovative telecommunication technologies in NATO standards.

  • Oleksii Komar, National Aviation University

    PhD, Associate Professor Department of information security systems National Aviation University, Kyiv, Ukraine. Research Interests: modeling of ensembles of complex signals, "smart radio", application of genetic algorithms and mathematical methods to optimize processes in telecommunication systems, artificial intelligence and telecommunications.

  • Olena Syvolovska, Ukrainian State University of Railway Transport

    PhD, Associate Professor Department of Marketing, commercial activity and economic theory Ukrainian State University of Railway Transport, Kharkiv, Ukraine. Research Interests: marketing, advertising creative, methods and models of «smart radio», neural networks in telecommunications and marketing.

  • Oleksandr Veklych, State University of Telecommunications

    PhD student Department of Telecommunication systems and networks State University of Telecommunications, Kyiv, Ukraine. Research Interests: electronic telecommunications, computer networks, cognitive telecommunication networks.

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Published

2024-08-30

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How to Cite

[1]
V. Lysechko, O. Komar, O. Syvolovska, and O. Veklych, “Analysis of Wireless Communication Protocols for Enhancing the Efficiency of Cognitive Telecommunications Networks Functionality”, SISIOT, vol. 2, no. 1, p. 01005, Aug. 2024, doi: 10.31861/sisiot2024.1.01005.

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