Machine learning-based approaches for handover decision of cellular-connected drones in future networks: A comprehensive review-Reference-Cited by-同舟云学术

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

Published:2024-07 Issue: Volume:55 Page:101732
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Zaid Mohammed,Kadir M.K.A.,Shayea Ibraheem,Mansor Zuhanis

Funder

Universiti Kuala Lumpur - British Malaysian Institute

Publisher

Elsevier BV

Reference133 articles.

1. Unmanned aerial vehicle with handover management fuzzy system for 5G networks: challenges and perspectives;Ayass;Intell. Robot.,2022

2. A review over existing handover decision systems for drones in wireless network;Singh;Int. J. Sci. Technol. Res.,2020

3. Proactive handover decision for UAVs with deep reinforcement learning;Jang;Sensors,2022

4. Handover parameter for self-optimisation in 6G mobile networks: a survey;Mahamod;Alexandria Eng. J.,2023

5. Machine Learning assisted handover and resource management for cellular connected drones;Azari;IEEE Veh. Technol. Conf.,2020

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