Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks

Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks

Abstract Handover (HO) management in 5G networks is an essential and sensitive mechanism as the deployment of 5G networks is undergoing rapid changes. We propose Adaptive Handover Optimization (AHO) model that uses Deep Reinforcement Learning (DRL) to dynamically adapt those key Handover Control Par...

Full description

Saved in:
Bibliographic Details
Main Authors: T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Machine learning (ML)
5G cellular networks
Handover optimization (HO)
Deep reinforcement learning
Model performance
Online Access:https://doi.org/10.1007/s44443-025-00124-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44443-025-00124-0

Similar Items