Transfer learning-based spectrum sensing over unknown scenarios
Efficient spectrum sensing is crucial for the optimal utilization of the increasingly crowded electromagnetic spectrum in cognitive radio networks (CRNs). Traditional spectrum sensing methods, including energy detection, matched filtering, and cyclostationary feature detection, often struggle in dyn...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/180691 |
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Institution: | Nanyang Technological University |
Language: | English |