Li, GY, Saad, W, Ozgur, A et al. (6 more authors) (2022) Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks. IEEE Journal on Selected Areas in Communications, 40 (1). pp. 1-4. ISSN 0733-8716
Abstract
The third 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 communications, from which we have included 26 original contributions in this issue. 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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Copyright, Publisher and Additional Information: | © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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/S016570/1 EPSRC (Engineering and Physical Sciences Research Council) EP/H040536/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jan 2022 14:31 |
Last Modified: | 13 Jan 2022 14:31 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/JSAC.2021.3126188 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182333 |