A CNN-based Transportation Type Identification for 5G Mobile Networks Using Cellular Information

Yi Ting Tseng, Yi Hao Lin, Jyh-Cheng Chen, Hsien Ting Lin, Fong Man Ho, Chia Hung Lin

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Mobility type identification is posed as the first step for 5G mobile networks to realize mobility management. The telecom operators can deploy customized network slices for different users with different mobility types. In this paper, we propose Cellular to Image Transportation Type Identification (CITTI) to identify transportation types by using cellular information only. CITTI takes a set of cellular data and transforms them into cellular-based images. The Convolutional Neural Network-based identifier is then used to identify the transportation type. With over 700 hours of two real-world datasets, several experiments are conducted to verify the accuracy of the proposed CITTI. The experimental results show that CITTI can achieve almost 95% accuracy and outperforms prior studies.

原文English
主出版物標題ICC 2021 - IEEE International Conference on Communications, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁數6
ISBN(電子)9781728171227
DOIs
出版狀態Published - 14 6月 2021
事件2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
持續時間: 14 6月 202123 6月 2021

出版系列

名字IEEE International Conference on Communications
ISSN(列印)1550-3607

Conference

Conference2021 IEEE International Conference on Communications, ICC 2021
國家/地區Canada
城市Virtual, Online
期間14/06/2123/06/21

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