Adaptive and Load Balancing Ground Users Access Design for UAV-Assisted Networks-Reference-Cited by-同舟云学术

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Adaptive and Load Balancing Ground Users Access Design for UAV-Assisted Networks

Published:2024-06-09 Issue: Volume:4 Page:1569-1575
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Zhang Min¹,Zhang Lu¹,Cheng Hao¹,Yang Peng²,Dong Chao³,Wu Qihui³,Quek Tony Q. S.⁴

Affiliation:

1. Nanjing University of Posts and Telecommunications,Nanjing,China,210003

2. Beihang University,Beijing,China,100191

3. Nanjing University of Aeronautics and Astronautics,Nanjing,China,211100

4. Singapore University of Technology and Design,Singapore,Singapore,487372

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623041.pdf?arnumber=10623041

Reference16 articles.

1. Hierarchical Aerial Computing for Internet of Things via Cooperation of HAPs and UAVs

2. Remote Interference Source Localization: A Multi‐UAV‐Based Cooperative Framework

3. Multi-UAV Trajectory Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based Approach

4. Coverage Control for UAV Swarm Communication Networks: A Distributed Learning Approach

5. LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks

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