Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques-Reference-Cited by-同舟云学术

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques

Published:2024 Issue: Volume:5 Page:825-854
ISSN:2644-1330
Container-title:IEEE Open Journal of Vehicular Technology
language:
Short-container-title:IEEE Open J. Veh. Technol.

Author:

Sun Chenrui¹^ORCID,Fontanesi Gianluca²^ORCID,Canberk Berk³^ORCID,Mohajerzadeh Amirhossein⁴^ORCID,Chatzinotas Symeon²^ORCID,Grace David¹^ORCID,Ahmadi Hamed¹^ORCID

Affiliation:

1. School of Physics, Engineering and Technology, University of York, York, U.K.

2. Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg-Kirchberg, Luxembourg

3. School of Computing, Engineering and The Built Environment, Edinbrough Napier University, Edinburgh, U.K.

4. Department of Computing and Information Technology, Sohar University, Sohar, Oman

Funder

Engineering and Physical Sciences Research Council

Impact Acceleration Accounts

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782711/10345397/10531095.pdf?arnumber=10531095

Reference162 articles.

1. A Novel Airborne Self-Organising Architecture for 5G+ Networks

2. A Survey on Machine-Learning Techniques for UAV-Based Communications

3. A survey on UAV placement and trajectory optimization in communication networks: From the perspective of air-to-ground channel models

4. A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

5. UAV Communications with Machine Learning: Challenges, Applications and Open Issues

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