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.
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks / Li, G. Y.; Saad, W.; Ozgur, A.; Kairouz, P.; Qin, Z.; Hoydis, J.; Han, Z.; Gunduz, D.; Elmirghani, J.. - In: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. - ISSN 0733-8716. - 39:8(2021), pp. 2267-2270. [10.1109/JSAC.2021.3087366]
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks
Gunduz D.;
2021
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.File | Dimensione | Formato | |
---|---|---|---|
Series_Editorial_The_Third_Issue_of_the_Series_on_Machine_Learning_in_Communications_and_Networks.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
100.68 kB
Formato
Adobe PDF
|
100.68 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris