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무선 네트워크에서 시퀀스-투-시퀀스 기반 모바일 궤적 예측 모델
( Sammy Yap Xiang Bang ),양희규 ( Huigyu Yang ),( Syed M. Raza ),추현승 ( Hyunseung Choo ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.1
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-to-sequence 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.