Deep Learning for Telecom Self-Optimized Networks: Benefits and Implications
Self-Optimized networks (SON) have emerged as a pivotal solution for telecom operators to automate their networks’ implementation, configuration and resources optimization based on network’s own intelligence. Among the challenges tackled by SON, traffic prediction stands out as...
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| Main Authors: | Farah Alhaqui, Iyad Lahsen-Cherif, Mariam Elkhechafi, Ahmed Elkhadimi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10811884/ |
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