Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks

By Karaputugala G. Madushan Thilina, Kae Won Choi, Nazmus Saquib, Ekram Hossain. IEEE Journal on Selected Areas in Communications, 2013

381 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/fc3fb8de45d2376df82e8d43d2f4119942609d7d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Jiajia Liu
2. Nei Kato
3. Yuichi Kawamoto
4. Fengxiao Tang
5. Shree Krishna Sharma
6. Bomin Mao

In Signal Processing

1. Shree Krishna Sharma
2. Nei Kato
3. Fengxiao Tang

Citations in the corpus

• Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches (2020, background): “[73] jointly considered the supervised and unsupervised learning in the CR system.”
• Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019, positive): “In [109], supervised and unsupervised ML-based cooperative spectrum sensing algorithms for cognitive radio networks have been proposed.”