Energy-efficient cellular-connected UAV swarm control optimization
Cellular-connected unmanned aerial vehicle (UAV) swarm is a promising solution for
diverse applications, including cargo delivery and traffic control. However, it is still …
diverse applications, including cargo delivery and traffic control. However, it is still …
Distributed UAV-BSs trajectory optimization for user-level fair communication service with multi-agent deep reinforcement learning
Unmanned Aerial Vehicles (UAVs) have attacted much attention in the field of wireless
communication due to its agility and altitude. UAVs can be used as low-altitude aerial base …
communication due to its agility and altitude. UAVs can be used as low-altitude aerial base …
AI driven heterogeneous MEC system with UAV assistance for dynamic environment: Challenges and solutions
By taking full advantage of Computing, Communication and Caching (3C) resources at the
network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for …
network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for …
Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
[HTML][HTML] Energy-efficient multi-uavs cooperative trajectory optimization for communication coverage: An madrl approach
T Ao, K Zhang, H Shi, Z Jin, Y Zhou, F Liu - Remote Sensing, 2023 - mdpi.com
Unmanned Aerial Vehicles (UAVs) can be deployed as aerial wireless base stations which
dynamically cover the wireless communication networks for Ground Users (GUs). The most …
dynamically cover the wireless communication networks for Ground Users (GUs). The most …
Reliable backhauling in aerial communication networks against UAV failures: A deep reinforcement learning approach
Unmanned Aerial Vehicles (UAVs) can be utilized as aerial base stations to establish
wireless communication networks in various challenging scenarios, such as emergency …
wireless communication networks in various challenging scenarios, such as emergency …
Deep reinforcement learning for real-time trajectory planning in UAV networks
In Unmanned Aerial Vehicle (UAV)-enabled wireless powered sensor networks, a UAV can
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
be employed to charge the ground sensors remotely via Wireless Power Transfer (WPT) and …
Multi-UAV assisted network coverage optimization for rescue operations using reinforcement learning
Mobile communication networks could make a significant difference in rescuing affected
people in post-disaster scenarios. However, the existing communication infrastructures tend …
people in post-disaster scenarios. However, the existing communication infrastructures tend …
Backhaul-aware optimization of UAV base station location and bandwidth allocation for profit maximization
Unmanned Aerial Vehicle Base Stations (UAV-BSs) are envisioned to be an integral
component of the next generation Wireless Communications Networks (WCNs) with a …
component of the next generation Wireless Communications Networks (WCNs) with a …
Machine learning-based resource allocation for multi-UAV communications system
Z Chang, W Guo, X Guo… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV)-based wireless communication system is prominent in
its flexibility and low cost for providing ubiquitous connectivity. In this work, considering a …
its flexibility and low cost for providing ubiquitous connectivity. In this work, considering a …