作者
Helin Yang, Xianzhong Xie, Michel Kadoch
发表日期
2020/1/17
期刊
IEEE Network
卷号
34
期号
3
页码范围
208-215
出版商
IEEE
简介
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will support various communication connectivity and services for the huge number of wireless smart/ intelligent devices and machines. The challenge lies in assisting wireless networks to intelligently learn experience, autonomously optimize network configurations and smartly make decisions to support massive wireless smart devices with minimum human intervention, so the diverse and colorful service requirements can be satisfied with the optimum performance. Machine learning, as one of the powerful artificial intelligence tools, is capable of efficiently supporting wireless smart devices by assisting them to smartly observe the environment, analyze data and make decisions with the intelligence. Hence, in this article, we briefly review the major concepts of common machine learning techniques and present their potential …
引用总数
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