Luo, Jingci, Tang, Jie, So, Daniel et al. (3 more authors) (Accepted: 2019) A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA with SWIPT. IEEE Access. ISSN: 2169-3536 (In Press)
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
| Dates: |
|
| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 30 Jan 2019 09:40 |
| Last Modified: | 17 Sep 2025 01:17 |
| Status: | In Press |
| Refereed: | Yes |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141652 |

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)