Artificial Intelligence to Manage Network Traffic of 5G Wireless Networks

The deployment of 5G wireless communication systems is projected to begin in 2020. With new scenarios, new technologies, and new network architectures, the traffic management for 5G networks will present significant technical challenges. In recent years, AI technologies, especially ML technologies,...

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Bibliographic Details
Published inIEEE network Vol. 32; no. 6; pp. 58 - 64
Main Authors Fu, Yu, Wang, Sen, Wang, Cheng-Xiang, Hong, Xuemin, McLaughlin, Stephen
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
5G mobile communication
Algorithms
Artificial intelligence
Communications traffic
Content management
Domains
Network architecture
Networked control systems
New technology
Supervised learning
Telecommunication traffic
Traffic control
Traffic management
Wireless communication systems
Wireless communications
Wireless networks
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Summary:The deployment of 5G wireless communication systems is projected to begin in 2020. With new scenarios, new technologies, and new network architectures, the traffic management for 5G networks will present significant technical challenges. In recent years, AI technologies, especially ML technologies, have demonstrated significant success in many application domains, suggesting their potential to help solve the problem of 5G traffic management. In this article, we investigate the new characteristics of 5G wireless network traffic and discuss challenges they present for 5G traffic management. Potential solutions and research directions for the management of 5G traffic, including distributed and lightweight ML algorithms and a novel AI assistant content retrieval algorithm framework, are discussed.
ISSN:0890-8044
1558-156X
DOI:10.1109/MNET.2018.1800115