计算机科学
互联网
无线
深度学习
电信
无线网络
计算机网络
人工智能
万维网
作者
He Li,Kaoru Ota,Mianxiong Dong
标识
DOI:10.1109/mwc.017.2200089
摘要
In sixth-generation (6G) wireless communications, deep learning will still be essential for the Internet of Vehicles (loV). 6G will bring new opportunities and challenges to current deep learning systems applied in the loV environment. This article introduces a new framework: Learning loV in 6G, focusing on the deep learning applications for loV in 6G. We also apply the proposed framework in a flying base station (FBS) to evaluate the performance for future loV in 6G.
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