Energy-Efficiency Resource Allocation for D2D Communications Under-Laying UAV Networks

P Zhao, L Chen, Z Jiang, M Han, F Yuan, A Li… - International Conference …, 2023 - Springer
Abstract Device-to-Device (D2D) communications under-laying Unmanned aerial vehicle
(UAV) with its mobility extend the coverage and improve system capacity and flexible …

Cooperative Multi-UAV Dynamic Anti-Jamming Scheme with Deep Reinforcement Learning

R Wang, S Wang, W Zhang - 2022 IEEE 22nd International …, 2022 - ieeexplore.ieee.org
Key challenges for manned/unmanned aerial vehicles (MAV/UAV) cooperative operation
with distributed command and control (C2) structure network face are the assignment of …

Pan Zhao¹, 2, 3, 4, Liuyuan Chen2, 3, Zhiliang Jiang2, 3, Ming Han2, 3, Fucai Yuan², 3

A Li, X Jia, X Fu, J Han, J Han - Proceedings of the 13th …, 2024 - books.google.com
Device-to-Device (D2D) communications under-laying Unmanned aerial vehicle (UAV) with
its mobility extend the coverage and improve system capacity and flexible networking …

UAV-assisted communication online control strategy based on MPC

W Yifei, H Wei, X Junyan, H Xiaohe… - Journal of University of …, 2023 - journal.ucas.ac.cn
This paper addresses the research challenges in unmanned aerial vehicle communication
networks, including significant interference among multiple users, high complexity of …

[PDF][PDF] UAV as Auxiliary Base Station uses Deep Learning to Conduct Research on Network Resource Allocation

B Ding, X Yu - CS & IT Conference Proceedings, 2023 - csitcp.org
With the development of UAV technology, using UAV as a base station in the air can quickly
restore vehicle communications after disasters. In order to reduce the delay and maximize …