作者
Nei Kato, Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Jiajia Liu
发表日期
2020/4/8
期刊
IEEE Wireless Communications
卷号
27
期号
3
页码范围
96-103
出版商
IEEE
简介
As the 5G standard is being completed, academia and industry have begun to consider a more developed cellular communication technique, 6G, which is expected to achieve high data rates up to 1 Tb/s and broad frequency bands of 100 GHz to 3 THz. Besides the significant upgrade of the key communication metrics, Artificial Intelligence (AI) has been envisioned by many researchers as the most important feature of 6G, since the state-of-the-art machine learning technique has been adopted as the top solution in many extremely complex scenarios. Network intelligentization will be the new trend to address the challenges of exponentially increasing number of connected heterogeneous devices. However, compared with the application of machine learning in other fields, such as computer games, current research on intelligent networking still has a long way to go to realize the automatically- configured cellular …
引用总数
学术搜索中的文章
N Kato, B Mao, F Tang, Y Kawamoto, J Liu - IEEE Wireless Communications, 2020