Artificial intelligence for UAV-enabled wireless networks: A survey

MA Lahmeri, MA Kishk… - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are considered as one of the promising technologies for
the next-generation wireless communication networks. Their mobility and their ability to …

Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing

F Song, H Xing, X Wang, S Luo, P Dai… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article studies the trajectory control and task offloading (TCTO) problem in an
unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies …

Distributed UAV-BSs trajectory optimization for user-level fair communication service with multi-agent deep reinforcement learning

Z Qin, Z Liu, G Han, C Lin, L Guo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Multi-agent deep reinforcement learning for trajectory design and power allocation in multi-UAV networks

N Zhao, Z Liu, Y Cheng - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is regarded as an effective technology in future wireless
networks. However, due to the non-convexity feature of joint trajectory design and power …

Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing

X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …

Chase or wait: Dynamic UAV deployment to learn and catch time-varying user activities

Z Wang, L Duan - IEEE Transactions on Mobile Computing, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) technology is a promising solution for rapidly providing
wireless communication services to ground users, where a UAV has limited service …

UAV communications with machine learning: challenges, applications and open issues

S Ben Aissa, A Ben Letaifa - Arabian Journal for Science and Engineering, 2022 - Springer
Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …

Joint resource allocation and trajectory design for multi-UAV systems with moving users: Pointer network and unfolding

Q Hou, Y Cai, Q Hu, M Lee, G Yu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important part of the fifth generation (5G) mobile networks, unmanned aerial vehicles
(UAVs) have been applied in various communication scenarios due to their high operability …

NOMA for STAR-RIS Assisted UAV Networks

J Lei, T Zhang, X Mu, Y Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a novel simultaneously transmitting and reflecting reconfigurable
intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) non-orthogonal …

Joint trajectory and resource allocation design for UAV communication systems

R Li, Z Wei, L Yang, DWK Ng, N Yang… - 2018 IEEE Globecom …, 2018 - ieeexplore.ieee.org
In this paper, we investigate resource allocation design for unmanned aerial vehicle (UAV)-
enabled communication systems, where a UAV is dispatched to provide communications to …