Hybrid Machine Learning Approaches for 5G Traffic Prediction
ABSTRACT Accurate traffic prediction poses great difficulties because of the continuously increasing scale and diversity of 5G network traffic, which is driven by user demands. Moreover, certain characteristics of 5G traffic are constantly changing; thus, simulations using traditional models often...
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| Main Author: | |
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| Format: | Article |
| Language: | Arabic |
| Published: |
University of Information Technology and Communications
2024-11-01
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| Series: | Iraqi Journal for Computers and Informatics |
| Subjects: | |
| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/527 |
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