Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques
This paper provides a comprehensive overview of the evolution of Machine Learning (ML), from traditional to advanced, in its application and integration into unmanned aerial vehicle (UAV) communication frameworks and practical applications. The manuscript starts with an overview of the existing rese...
Saved in:
Main Authors: | Chenrui Sun, Gianluca Fontanesi, Berk Canberk, Amirhossein Mohajerzadeh, Symeon Chatzinotas, David Grace, Hamed Ahmadi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Vehicular Technology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10531095/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement
by: Zhun Fan, et al.
Published: (2024-12-01) -
Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives
by: Geeta Sharma, et al.
Published: (2025-01-01) -
Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning
by: Yi ZHOU, et al.
Published: (2019-06-01) -
Hierarchical game based spectrum access optimization for anti-jamming in UAV network
by: Chaoqiong FAN, et al.
Published: (2020-06-01) -
XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations
by: Mohammad Azad, et al.
Published: (2025-01-01)