A novel multi-user collaborative cognitive radio spectrum sensing model: Based on a CNN-LSTM model

• Published in: PloS one Vol. 20; no. 1; p. e0316291
• Main Authors: Wang, Kai, Chen, Yangyang, Bo, Dan, Wang, Shubin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 15.01.2025; Public Library of Science (PLoS)
• Subjects: Accuracy; Adaptability; Algorithms; Artificial neural networks; Biology and Life Sciences; Cognition; Cognitive radio; Collaboration; Communication; Computer and Information Sciences; Computer Simulation; Decision making; Deep Learning; Design and construction; Efficiency; Humans; Information flow; Licenses; Long short-term memory; Machine learning; Neural networks; Neural Networks, Computer; Performance evaluation; Physical Sciences; Radio networks; Radio spectra; Research and Analysis Methods; Scanners (Radio receivers); Social Sciences; Spectrum allocation; Wireless networks; Wireless Technology; Wireless telecommunications equipment; China

Cognitive Radio (CR) technology enables wireless devices to learn about their surrounding spectrum environment through sensing capabilities, thereby facilitating efficient spectrum utilization without interfering with the normal operation of licensed users. This study aims to enhance spectrum sensin...