观点
计算机科学
深度学习
云计算
物联网
互联网
数据科学
人工智能
分布式计算
电信
计算机安全
万维网
操作系统
艺术
视觉艺术
作者
Zunxin Zheng,Linmei Wang,Fayan Zhu,Ling Liu
标识
DOI:10.1016/j.compeleceng.2021.107373
摘要
The fifth generation (5G) networks provide high speed, low latency, and reliable communication services, and have been making great differences in our daily life. However, it might be difficult to meet the growing demands of Internet of Things (IoT) devices based on the existing technologies in the future, so the concept of sixth generation (6G) networks were raised to improve the existing 5G networks and promote the development of intelligent applications furthermore. Therefore, we introduce the characteristics, challenges, and potential technologies of 6G networks, and find that deep learning is potential to overcome these challenges with the help of big data and cloud computing. In addition, Deep learning approaches and potential applications in 6G networks are also discussed. We summarize the important viewpoints and studies, and provide some new ideas for developing 6G networks.
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