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- Publisher Website: 10.1007/978-3-030-30975-6_6
- Scopus: eid_2-s2.0-85074975473
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Book Chapter: Artificial Intelligence (AI) Enabled NOMA
| Title | Artificial Intelligence (AI) Enabled NOMA |
|---|---|
| Authors | |
| Issue Date | 2020 |
| Citation | SpringerBriefs in Computer Science, 2020, p. 89-94 How to Cite? |
| Abstract | Recently, machine learning has been extensively applied in various areas including wireless communications. The more recent work has shown the power of deep learning in physical layer communications (Qin et al., IEEE Wireless Commun 26:93–99, 2019) and resource allocation (Ye et al., IEEE Veh Technol Mag 13:94–101, 2018). In this chapter, we will discuss the adaptive NOMA enabled by artificial intelligence AI and the new application of NOMA in the unmanned aerial vehicle (UAV) networks, with the goal to provide a potential solution to realize UAV networks with NOMA. |
| Persistent Identifier | http://hdl.handle.net/10722/349364 |
| ISSN | 2023 SCImago Journal Rankings: 0.133 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Yuanwei | - |
| dc.contributor.author | Qin, Zhijin | - |
| dc.contributor.author | Ding, Zhiguo | - |
| dc.date.accessioned | 2024-10-17T06:58:03Z | - |
| dc.date.available | 2024-10-17T06:58:03Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | SpringerBriefs in Computer Science, 2020, p. 89-94 | - |
| dc.identifier.issn | 2191-5768 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/349364 | - |
| dc.description.abstract | Recently, machine learning has been extensively applied in various areas including wireless communications. The more recent work has shown the power of deep learning in physical layer communications (Qin et al., IEEE Wireless Commun 26:93–99, 2019) and resource allocation (Ye et al., IEEE Veh Technol Mag 13:94–101, 2018). In this chapter, we will discuss the adaptive NOMA enabled by artificial intelligence AI and the new application of NOMA in the unmanned aerial vehicle (UAV) networks, with the goal to provide a potential solution to realize UAV networks with NOMA. | - |
| dc.language | eng | - |
| dc.relation.ispartof | SpringerBriefs in Computer Science | - |
| dc.title | Artificial Intelligence (AI) Enabled NOMA | - |
| dc.type | Book_Chapter | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-030-30975-6_6 | - |
| dc.identifier.scopus | eid_2-s2.0-85074975473 | - |
| dc.identifier.spage | 89 | - |
| dc.identifier.epage | 94 | - |
| dc.identifier.eissn | 2191-5776 | - |