Predicting user trajectories using deep learning algorithms / Ahmad Zaki Aiman Abdul Rashid, Azita Laily Yusof and Norsuzila Ya’acob
In order to produce seamless handover performance, a user’s trajectory acts as a catalyst in determining the exact time and position of making the handover from one base station to another base station. Due to this, this paper predicts user’s future trajectory from past trajectory utilizing deep lea...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
UiTM Press
2025
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/115540/1/115540.pdf https://ir.uitm.edu.my/id/eprint/115540/ https://jeesr.uitm.edu.my |
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