- Tytuł:
- Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey on Machine Learning-based Methods
- Autorzy:
-
Khamayseh, Sundous
Halawani, Alaa - Powiązania:
- https://bibliotekanauki.pl/articles/308079.pdf
- Data publikacji:
- 2020
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
cognitive radio
cooperative spectrum sensing
IEEE 802.22
machine learning
spectrum sensing - Opis:
- The continuous growth of demand experienced by wireless networks creates a spectrum availability challenge. Cognitive radio (CR) is a promising solution capable of overcoming spectrum scarcity. It is an intelligent radio technology that may be programmed and dynamically configured to avoid interference and congestion in cognitive radio networks (CRN). Spectrum sensing (SS) is a cognitive radio life cycle task aiming to detect spectrum holes. A number of innovative approaches are devised to monitor the spectrum and to determine when these holes are present. The purpose of this survey is to investigate some of these schemes which are constructed based on machine learning concepts and principles. In addition, this review aims to present a general classification of these machine learningbased schemes.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2020, 3; 36-46
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł