Congestion Control Prediction Model for 5G Environment Based on Supervised and Unsupervised Machine Learning Approach
With the emergence of 5G technology, congestion control has become a vital challenge to be addressed in order to have efficient communication. There are several congestion control models that have been proposed to control and predict the possible congestion in 5G technology. However, finding the opt...
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| Main Authors: | Mohammed B. Alshawki, Ihab Ahmed Najm, Alaa Khalaf Hamoud |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10562283/ |
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