The drone scheduling problem: A systematic state-of-the-art review

J Pasha, Z Elmi, S Purkayastha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …

Resource allocation in unmanned aerial vehicle networks: A review

S Sai, S Mishra, V Chamola - Vehicular Communications, 2025 - Elsevier
Currently, resource allocation in Unmanned Aerial Vehicles (UAVs) is a major topic of
discussion among industrialists and researchers. Considering the different emerging …

Energy-efficient UAV movement control for fair communication coverage: A deep reinforcement learning approach

IA Nemer, TR Sheltami, S Belhaiza, AS Mahmoud - Sensors, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are considered an important element in wireless
communication networks due to their agility, mobility, and ability to be deployed as mobile …

Satellite-assisted UAV trajectory control in hostile jamming environments

C Han, A Liu, K An, H Wang, G Zheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Satellite and unmanned aerial vehicle (UAV) networks have been introduced as enhanced
approaches to provide dynamic control, massive connections and global coverage for future …

[HTML][HTML] Deep Reinforcement Learning Algorithm with Long Short-Term Memory Network for Optimizing Unmanned Aerial Vehicle Information Transmission

Y He, R Hu, K Liang, Y Liu, Z Zhou - Mathematics, 2024 - mdpi.com
The optimization of information transmission in unmanned aerial vehicles (UAVs) is
essential for enhancing their operational efficiency across various applications. This issue is …

Machine Learning-Based Efficient Resource Scheduling for Future Wireless Communication Networks

Y Yuan - 2022 - orbilu.uni.lu
The next-generation mobile communication system, eg, 6G communication system, is
envisioned to support unprecedented performance requirements such as exponentially …