DEAP Learning: A Data-Driven Approach to Unsupervised Cooperative Spectrum Sensing
Author:
Affiliation:
1. Concordia University,Department of Electrical and Computer Engineering,Montreal,Quebec,Canada,H3G 1M8
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437464.pdf?arnumber=10437464
Reference13 articles.
1. Learning-Based Cooperative Spectrum Sensing in Hybrid Underlay-Interweave Secondary Networks
2. From Cognitive to Intelligent Secondary Cooperative Networks for the Future Internet: Design, Advances, and Challenges
3. A Deep Autoencoder Trust Model for Mitigating Jamming Attack in IoT Assisted by Cognitive Radio
4. Artificial neural network based hybrid spectrum sensing scheme for cognitive radio
5. Unsupervised Deep Spectrum Sensing: A Variational Auto-Encoder Based Approach
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