Machine learning algorithms for cognitive radio wireless networks
In this thesis new methods are presented for achieving spectrum sensing in cognitive radio wireless networks. In particular, supervised, semi-supervised and unsupervised machine learning based spectrum sensing algorithms are developed and various techniques to improve their performance are described...
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| Format: | Default Thesis |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/19609 |
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