Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization

Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization

The fast change from 5G to 6G networks calls for extremely accurate network traffic prediction and effective resource allocation to meet rising data volumes and ultra-low latency requirements. To deal with the complicated time and space based aspects of 6G network traffic, an AI based hybrid model i...

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Bibliographic Details
Main Authors: Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
6G networks
network traffic forecasting
wireless communications
AI integration
hybrid deep learning
Online Access:https://ieeexplore.ieee.org/document/11122864/
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https://ieeexplore.ieee.org/document/11122864/

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