Deep Learning for Telecom Self-Optimized Networks: Benefits and Implications

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Farah Alhaqui, Iyad Lahsen-Cherif, Mariam Elkhechafi, Ahmed Elkhadimi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Telecommunications
self optimized networks
traffic prediction
recurrent neural networks
long-short-term memory
gated recurrent unit
Online Access:https://ieeexplore.ieee.org/document/10811884/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10811884/

Similar Items