Cooperative UAV trajectory design for disaster area emergency communications: A multi-agent PPO method

Y Guan, S Zou, H Peng, W Ni, Y Sun… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article investigates the issue of cooperative real-time trajectory design for multiple
unmanned aerial vehicles (UAVs) to support emergency communication in disaster areas …

Resource scheduling based on deep reinforcement learning in UAV assisted emergency communication networks

C Wang, D Deng, L Xu, W Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) assisted emergency communication is an important
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …

Unmanned aerial vehicle-aided communications: Joint transmit power and trajectory optimization

H Wang, G Ren, J Chen, G Ding… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
This letter investigates the transmit power and trajectory optimization problem for unmanned
aerial vehicle (UAV)-aided networks. Different from majority of the existing studies with fixed …

Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks

P Luong, F Gagnon, LN Tran… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …

Energy-effective data gathering for UAV-aided wireless sensor networks

B Liu, H Zhu - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are capable of serving as a data collector for wireless
sensor networks (WSNs). In this paper, we investigate an energy-effective data gathering …

Energy-efficient UAV communications: A generalized propulsion energy consumption model

X Dai, B Duo, X Yuan, W Tang - IEEE Wireless …, 2022 - ieeexplore.ieee.org
This letter proposes a generalised propulsion energy consumption model (PECM) for rotary-
wing unmanned aerial vehicles (UAVs) under the consideration of the practical thrust-to …

Energy minimization in UAV-aided networks: Actor-critic learning for constrained scheduling optimization

Y Yuan, L Lei, TX Vu, S Chatzinotas… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy supply and storage
have triggered the development of intelligent energy-conserving scheduling solutions. In this …

Online trajectory and resource optimization for stochastic UAV-enabled MEC systems

Z Yang, S Bi, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
The recent development of unmanned aerial vehicle (UAV) and mobile edge computing
(MEC) technologies provides flexible and resilient computation services to mobile users out …

Adaptive and extensible energy supply mechanism for UAVs-aided wireless-powered Internet of Things

P Wu, F Xiao, H Huang, C Sha… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article studies multiple unmanned aerial vehicles (multi-UAVs)-enabled wireless-
powered Internet of Things (IoT), where a group of UAVs is dispatched as mobile power …

Three-dimension trajectory design for multi-UAV wireless network with deep reinforcement learning

W Zhang, Q Wang, X Liu, Y Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The effective trajectory design of multiple unmanned aerial vehicles (UAVs) is investigated
for improving the capacity of the communication system. The aim is for maximizing real-time …