AI-based limited data spectrum sensing for cognitive radio networks
This dissertation presents an advanced approach to spectrum sensing in cognitive radio networks by integrating deep learning techniques, specifically Convolutional Neural Networks (CNNs). Through simulations of quadrature phase-shift keying (QPSK) and 8 phase-shift keying (8PSK) signals in MATLAB an...
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| Format: | Thesis-Master by Research |
| Language: | English |
| Published: |
Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182462 |
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| Institution: | Nanyang Technological University |
| Language: | English |