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 |
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Authors/Creators: |
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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: |
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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: | 08 Feb 2025 00:33 |
Status: | In Press |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141652 |