| Issue |
E3S Web of Conf.
Volume 452, 2023
XV International Online Conference “Improving Farming Productivity and Agroecology – Ecosystem Restoration” (IPFA 2023)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 9 | |
| Section | Geodesy and Geoinformation | |
| DOI | https://doi.org/10.1051/e3sconf/202345203006 | |
| Published online | 30 November 2023 | |
Modeling and research of the operation of cognitive radio networks
1 Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Avenue 108, 100084 Tashkent, Uzbekistan
2 Indian Institute of Technology in Jodhpur, urpura Bypass Rd, Karwar, Jheepasani, Rajasthan 342030, India
3 Nukus Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 74, A. Dosnazarov street, Nukus, Uzbekistan
* Corresponding author: reypnazar0vernazar@gmail.com
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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