A Deep Neural Network Model for Hybrid Spectrum Sensing in Cognitive Radio
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-020-08013-7.pdf
Reference29 articles.
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3. Clancy, C., Hecker, J., Stuntebeck, E., & O’Shea, T. (2007). Applications of machine learning to cognitive radio networks. IEEE Wireless Communications, 14(4), 47–52.
4. Thilina, K. M., Choi, K. W., Saquib, N., & Hossain, E. (2013). Machine learning techniques for cooperative spectrum sensing in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 31(11), 2209–2221.
5. Lu, Y., Zhu, P., Wang, D., & Fattouche M. (2016). Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks. In 2016 IEEE wireless communications and networking conference (pp. 1–6).
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