| 한글제목(Korean Title) |
무선 네트워크에서 시퀀스-투-시퀀스 기반 모바일 궤적 예측 모델 |
| 영문제목(English Title) |
Sequence-to-Sequence based Mobile Trajectory Prediction Model in Wireless Network |
| 저자(Author) |
Sammy Yap Xiang Bang
양희규
Syed M. Raza
추현승
Sammy Yap Xiang Bang
Huigyu Yang
Syed M. Raza
Hyunseung Choo
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| 원문수록처(Citation) |
VOL 29 NO. 01 PP. 0517 ~ 0519 (2022. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In 5G network environment, proactive mobility management is essential as 5G mobile networks provide new services with ultra-low latency through dense deployment of small cells. The importance of a system that actively controls device handover is emerging and it is essential to predict mobile trajectory during handover. Sequence-tosequence model is a kind of deep learning model where it converts sequences from one domain to sequences in another domain, and mainly used in natural language processing. In this paper, we developed a system for predicting mobile trajectory in a wireless network environment using sequence-to-sequence model. Handover speed can be increased by utilize our sequence-to-sequence model in actual mobile network environment. |
| 키워드(Keyword) |
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| 파일첨부 |
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