Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks

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...

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Bibliographic Details
Published inIEEE journal on selected areas in communications Vol. 40; no. 1; pp. 1 - 4
Main Authors Li, Geoffrey Y., Saad, Walid, Ozgur, Ayfer, Kairouz, Peter, Qin, Zhijin, Hoydis, Jakob, Han, Zhu, Gunduz, Deniz, Elmirghani, Jaafar
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Communication networks
Machine learning
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Summary: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.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2021.3126188