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

Geoffrey Y. Li; Walid Saad; Ayfer Ozgur; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han; Deniz Gunduz; Jaafar Elmirghani

doi:10.1109/JSAC.2021.3087366

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

Geoffrey Y. Li, Walid Saad, Ayfer Ozgur, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gunduz, Jaafar Elmirghani

Research output: Contribution to journal › Editorial › peer-review

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.

Original language	English
Article number	9487483
Pages (from-to)	2267-2270
Number of pages	4
Journal	IEEE Journal on Selected Areas in Communications
Volume	39
Issue number	8
DOIs	https://doi.org/10.1109/JSAC.2021.3087366
Publication status	Published - Aug 2021
Externally published	Yes

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10.1109/JSAC.2021.3087366

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title = "Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks",

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.",

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AU - Qin, Zhijin

AU - Hoydis, Jakob

AU - Han, Zhu

AU - Gunduz, Deniz

AU - Elmirghani, Jaafar

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

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