Performance of Cooperative Spectrum Sensing Techniques in Cognitive Radio Based on Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8086-2_25
Reference15 articles.
1. Kaur A, Kumar K (2020) A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks. J Exp Theor Artif Intell 1–40
2. Ranjan A, Singh B (2016) Design and analysis of spectrum sensing in cognitive radio based on energy detection. In: Proceedings of the international conference on signal and information processing, Vishnupuri, India, pp 1–5
3. Alom MZ, Godder TK, Morshed MN, Maali A (2017) Enhanced spectrum sensing based on energy detection in cognitive radio network using adaptive threshold. In: Proceedings of the international conference on networking systems and security, Dhaka, Bangladesh, pp 138–143
4. Arjoune Y, El Mrabet Z, El Ghazi H, Tamtaoui A (2018) Spectrum sensing: enhanced energy detection technique based on noise measurement. In: Proceedings of the IEEE computing and communication workshop and conference (CCWC), Las Vegas, NV, USA, pp 828–834
5. Chen A-Z, Shi Z-P (2020) Covariance-based spectrum sensing for noncircular signal in cognitive radio networks with uncalibrated multiple antennas. IEEE Wireless Commun Lett 9(5):662–665
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