A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks

A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks

Effectively managing network congestion in 5G systems is crucial for ensuring seamless connectivity and optimal resource utilization. In this study, an operational scheme based on hotspot prediction for Virtual Small Cell (VSC) is presented, which aims to improve coverage, reduce delay and improve e...

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Bibliographic Details
Main Authors: Aws Majeed Ghalib Alawadi, Hadi Seyedarabi, Reza Afrouzian, Javad Musevi Niya
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
5G
multiple input and multiple output (MIMO)
beamforming
deep learning
graph recurrent network (GRN)
gate recurrent unit (GRU)
Online Access:https://ieeexplore.ieee.org/document/11015958/
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https://ieeexplore.ieee.org/document/11015958/

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