A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

A tutorial on AI-powered 3D deployment of drone base stations: State of the art, applications and challenges

N Parvaresh, M Kulhandjian, H Kulhandjian… - Vehicular …, 2022 - Elsevier
Deploying uncrewed aerial vehicles (UAVs) as aerial base stations (BSs) to assist terrestrial
connectivity has drawn significant attention in recent years. Alongside other UAV types …

Digital twin assisted task offloading for aerial edge computing and networks

B Li, Y Liu, L Tan, H Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …

Improved genetic algorithm based 3-D deployment of UAVs

X Wen, Y Ruan, Y Li, H Xia, R Zhang… - Journal of …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used as aerial base stations (BSs) to provide
flexible connectivity and coverage for ground users in various scenarios such as disaster …

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 …

A continuous actor–critic deep Q-learning-enabled deployment of UAV base stations: Toward 6G small cells in the skies of smart cities

N Parvaresh, B Kantarci - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Uncrewed aerial vehicle-mounted base stations (UAV-BSs), also know as drone base
stations, are considered to have promising potential to tackle the limitations of ground base …

Bandwidth allocation and trajectory control in UAV-assisted IoV edge computing using multiagent reinforcement learning

J Wang, X Zhang, X He, Y Sun - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of an unmanned aerial vehicle (UAV) has brought new opportunities
for wireless communication and edge computing. In this article, we investigate the scenario …

CEDAN: Cost-effective data aggregation for UAV-enabled IoT networks

A Bera, S Misra, C Chatterjee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
One of the crucial challenges in networked Unmanned Aerial Vehicles (UAVs) is to
configure them to serve as aerial base stations (BSs) for collecting data from distributed …

REQIBA: Regression and deep Q-learning for intelligent UAV cellular user to base station association

B Galkin, E Fonseca, R Amer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are emerging as important users of next-generation
cellular networks. By operating in the sky, UAV users experience very different radio …

UAV-based emergency communications: An iterative two-stage multi-agent soft actor-critic approach for optimal association and dynamic deployment

Y Cao, Y Luo, H Yang, C Luo - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
This paper investigates future emergency wireless communication systems based on
multiple unmanned vehicles cooperative deployment. A terrestrial carrier vehicle with …