Series Editorial: The Second 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.2021.3078790

Series Editorial: The Second 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

1 Citation (Scopus)

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 23 original contributions in response to the first call for papers, we include in this issue 5 articles submitted to the second call for papers. 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	9457229
Pages (from-to)	1855-1857
Number of pages	3
Journal	IEEE Journal on Selected Areas in Communications
Volume	39
Issue number	7
DOIs	https://doi.org/10.1109/JSAC.2021.3078790
Publication status	Published - Jul 2021
Externally published	Yes

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10.1109/JSAC.2021.3078790

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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 23 original contributions in response to the first call for papers, we include in this issue 5 articles submitted to the second call for papers. 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 - Hoydis, Jakob

AU - Han, Zhu

AU - Gunduz, Deniz

AU - Elmirghani, Jaafar

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

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