Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review

The integration of cellular connectivity in drones signifies a crucial leap forward, offering the potential to revolutionize multiple industries. This comprehensive review examines the latest developments in the field of machine learning based handover (HO) decision-making for connected drones in fu...

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Bibliographic Details

Published in:	Engineering Science and Technology, an International Journal
Main Authors:	Mohammed Zaid, M.K.A. Kadir, Ibraheem Shayea, Zuhanis Mansor
Format:	Article
Language:	English
Published:	Elsevier 2024-07-01
Subjects:	Unmanned aerial vehicle Cellular-connected drone Handover Artificial intelligence (AI) Machine learning (ML) Deep learning (DL)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2215098624001186