Model-based machine learning for energy-efficient UAV placement

S Zhou, Y Cheng, X Lei - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
Serving as aerial base stations, unmanned aerial vehicles (UAVs) can provide wireless
coverage for the ground users. To achieve the goal of energy-efficient coverage, this paper …

Joint optimization of UAV 3-D placement and path-loss factor for energy-efficient maximal coverage

S Shakoor, Z Kaleem, DT Do, OA Dobre… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is a key enabler for communication systems beyond the fifth
generation due to its applications in almost every field, including mobile communications …

Edge-prior placement algorithm for UAV-mounted base stations

J Qin, Z Wei, C Qiu, Z Feng - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
With the unique agility and flexibility, unmanned aerial vehicles (UAVs) are widely applied in
various scenarios. Especially in the areas with disasters, UAVs can act as base stations …

Deployment and association of multiple UAVs in UAV-assisted cellular networks with the knowledge of statistical user position

L Wang, H Zhang, S Guo, D Yuan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Exploiting unmanned aerial vehicles (UAVs) as flying relays is becoming an indispensable
strategy to assist terrestrial cellular networks to enhance coverage. One challenging …

Placement optimization for UAV-enabled wireless networks with multi-hop backhauls in urban environments

S Yang, D Shi, Y Peng, S Yang… - 2022 21st ACM/IEEE …, 2022 - ieeexplore.ieee.org
In surveillance or search scenarios, exploiting unmanned aerial vehicles (UAVs) as relays to
provide wireless data access for task-oriented ground robots (GRs) with remote base station …

Fair and energy-efficient coverage optimization for UAV placement problem in the cellular network

Y Liu, W Huangfu, H Zhou, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) Base Station (BS) placement optimization is an essential
operational task to improve the Quality of Service (QoS) in UAV-aided wireless cellular …

Machine learning for predictive deployment of UAVs with multiple access

L Lu, Z Yang, M Chen, Z Zang… - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, a machine learning based deployment framework of unmanned aerial vehicles
(UAVs) is studied. In the considered model, UAVs are deployed as flying base stations (BS) …

A two-step environment-learning-based method for optimal UAV deployment

X Luo, Y Zhang, Z He, G Yang, Z Ji - IEEE Access, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be used as low-altitude flight base stations to satisfy
the coverage requirements of wireless users in various scenarios. In practical applications …

Power-Efficient UAV base station placement considering position and accessibility of individual nodes

J Park, H Baek, S Choi, J Lim, CH Lee… - Journal of Korean …, 2021 - research.knu.ac.kr
Recently, unmanned aerial vehicle base stations (UAV-BSs) have been widely studied as a
means of providing wireless cellular networks. We propose an energy efficient UAV-BS …

Learning to Deployment: Data-Driven On-Demand UAV Placement for Throughput Maximization

L Wang, H Zhang, S Guo, D Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) communications appear to be one of the most promising
paradigms for future wireless communication networks, because of their high flexibility in …