An Overview on the Application of Graph Neural Networks in Wireless Networks

In recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To effectively exploit the information of graph-structured data as well as contextual information, graph neural networks (GNNs) hav...

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Autores principales:	Shiwen He, Shaowen Xiong, Yeyu Ou, Jian Zhang, Jiaheng Wang, Yongming Huang, Yaoxue Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Wireless networks graph neural networks resource management Telecommunication TK5101-6720 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/0abffafb2d3d413db8743173689f09a8
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id	oai:doaj.org-article:0abffafb2d3d413db8743173689f09a8
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spelling	oai:doaj.org-article:0abffafb2d3d413db8743173689f09a82021-12-02T00:00:57ZAn Overview on the Application of Graph Neural Networks in Wireless Networks2644-125X10.1109/OJCOMS.2021.3128637https://doaj.org/article/0abffafb2d3d413db8743173689f09a82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9618652/https://doaj.org/toc/2644-125XIn recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To effectively exploit the information of graph-structured data as well as contextual information, graph neural networks (GNNs) have been introduced to address a series of optimization problems of wireless networks. In this overview, we first illustrate the construction method of wireless communication graph for various wireless networks and simply introduce the progress of several classical paradigms of GNNs. Then, several applications of GNNs in wireless networks such as resource allocation and several emerging fields, are discussed in detail. Finally, some research trends about the applications of GNNs in wireless communication systems are discussed.Shiwen HeShaowen XiongYeyu OuJian ZhangJiaheng WangYongming HuangYaoxue ZhangIEEEarticleWireless networksgraph neural networksresource managementTelecommunicationTK5101-6720Transportation and communicationsHE1-9990ENIEEE Open Journal of the Communications Society, Vol 2, Pp 2547-2565 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Wireless networks graph neural networks resource management Telecommunication TK5101-6720 Transportation and communications HE1-9990
spellingShingle	Wireless networks graph neural networks resource management Telecommunication TK5101-6720 Transportation and communications HE1-9990 Shiwen He Shaowen Xiong Yeyu Ou Jian Zhang Jiaheng Wang Yongming Huang Yaoxue Zhang An Overview on the Application of Graph Neural Networks in Wireless Networks
description	In recent years, with the rapid enhancement of computing power, deep learning methods have been widely applied in wireless networks and achieved impressive performance. To effectively exploit the information of graph-structured data as well as contextual information, graph neural networks (GNNs) have been introduced to address a series of optimization problems of wireless networks. In this overview, we first illustrate the construction method of wireless communication graph for various wireless networks and simply introduce the progress of several classical paradigms of GNNs. Then, several applications of GNNs in wireless networks such as resource allocation and several emerging fields, are discussed in detail. Finally, some research trends about the applications of GNNs in wireless communication systems are discussed.
format	article
author	Shiwen He Shaowen Xiong Yeyu Ou Jian Zhang Jiaheng Wang Yongming Huang Yaoxue Zhang
author_facet	Shiwen He Shaowen Xiong Yeyu Ou Jian Zhang Jiaheng Wang Yongming Huang Yaoxue Zhang
author_sort	Shiwen He
title	An Overview on the Application of Graph Neural Networks in Wireless Networks
title_short	An Overview on the Application of Graph Neural Networks in Wireless Networks
title_full	An Overview on the Application of Graph Neural Networks in Wireless Networks
title_fullStr	An Overview on the Application of Graph Neural Networks in Wireless Networks
title_full_unstemmed	An Overview on the Application of Graph Neural Networks in Wireless Networks
title_sort	overview on the application of graph neural networks in wireless networks
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0abffafb2d3d413db8743173689f09a8
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An Overview on the Application of Graph Neural Networks in Wireless Networks

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