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Modeling and research of the operation of cognitive radio networks

Ernazar ReypnazarovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Avenue 108, 100084 Tashkent, UzbekistanHalimjon KhujamatovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Avenue 108, 100084 Tashkent, UzbekistanDebasis DasIndian Institute of Technology in Jodhpur, urpura Bypass Rd, Karwar, Jheepasani, Rajasthan 342030, IndiaAlisher ShakhobiddinovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Avenue 108, 100084 Tashkent, UzbekistanDoston KhasanovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Avenue 108, 100084 Tashkent, UzbekistanTazakhan BabazhanovaNukus Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 74, A. Dosnazarov street, Nukus, Uzbekistan
E3S Web of Conferencesjournal2023en
ABI

Abstract

Cognitive radio networks (CRN) have emerged as a promising technology to address the spectrum scarcity problem by allowing unlicensed users to access the licensed spectrum dynamically. The operation process of CRN involves several steps such as spectrum sensing, spectrum decision, and spectrum sharing. This paper provides information on the model and algorithm developed for researching the operation of cognitive radio networks and describes the results of the research. The model is built in the Matlab software environment, and the relevant results of such processes as occupying channels, detecting spectrum holes, freeing channels, adding noise to signals, and suppressing signals in cognitive radio networks are graphically depicted.

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