Li, GY, Saad, W, Ozgur, A et al. (6 more authors) (2021) Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks. IEEE Journal on Selected Areas in Communications, 39 (8). pp. 2267-2270. ISSN 0733-8716
Abstract
The Second Call for Papers of the Series on Machine Learning in Communications and Networks has continued to receive a great number of high-quality papers covering various aspects of intelligent communication systems. In addition to those already published, we include in this issue 27 articles that have been submitted to the call. In the following, we provide a brief review of key contributions of papers in this issue according to their topics.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
| Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/H040536/1 EPSRC (Engineering and Physical Sciences Research Council) EP/K016873/1 EPSRC (Engineering and Physical Sciences Research Council) EP/S016570/1 |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 10 Aug 2021 09:50 |
| Last Modified: | 10 Aug 2021 09:50 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Identification Number: | 10.1109/JSAC.2021.3087366 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176900 |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)