Deep Leaarning in Collaborative Spectrum Sensing: An Application Overview
Siyi Liu, Donghui Xu, Dingyin Liu, Ziyu Chen · 2024
Advancements in wireless communication have made spectrum resources scarce, requiring efficient usage and minimized interference. Cooperative spectrum sensing, which uses multiple sensors or radio nodes, improves sensing accuracy and reliability. Integrating deep learning has significantly enhanced its precision and real-time performance, sparking substantial research interest. This paper explores deep learning-based cooperative spectrum sensing, covering its evolution, principles, technologies, applications, and future prospects. It emphasizes the role of deep learning in boosting efficiency and accuracy and addresses challenges and future directions.