Deep learning for channel estimation in non-orthogonal multiple access scheme
Non-orthogonal multiple access (NOMA) has a great potential in the fifth generation (5G) communication systems and has drawn increasing attention because of the capability of increasing spectral efficiency and supporting the large number of connections. However, the unsteady channel characteristic o...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/140952 |