@article{oai:muroran-it.repo.nii.ac.jp:02000227,
 author = {Li He and 李　鶴 and Ota Kaoru and 太田　香 and Dong Mianxiong and 董　冕雄},
 issue = {6},
 journal = {IEEE Wireless Communications},
 month = {Mar},
 note = {In sixth-generation (6G) wireless communications,
deep learning will still be essential for the Internet of Vehicles
(IoV). 6G will bring new opportunities and challenges to current
deep learning systems applied in the IoV environment. This
article introduces a new framework named Learning IoV in 6G,
focusing on the deep learning applications for IoV in 6G. We also
apply the proposed framework in a flying base station (FBS) to
evaluate the performance for future IoV in 6G.},
 pages = {96--101},
 title = {Learning IoV in 6G: Intelligent Edge Computing for Internet of Vehicles in 6G Wireless Communications},
 volume = {30},
 year = {2023}
}