A survey of wireless networks for future aerial communications (FACOM)

A Baltaci, E Dinc, M Ozger, A Alabbasi… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Electrification turned over a new leaf in aviation by introducing new types of aerial vehicles
along with new means of transportation. Addressing a plethora of use cases, drones are …

UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions

M Adil, H Song, MA Jan, MK Khan, X He… - ACM Computing …, 2024 - dl.acm.org
Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an
emerging concept that effectuates the foreknowledge of innovative technologies. With the …

Simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning

Y Zeng, X Xu, S Jin, R Zhang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the
full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …

Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems

Z Hu, F Zeng, Z Xiao, B Fu, H Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the
network, it is likely to cause severe propagation loss between the edge server and users …

Connectivity-aware 3D UAV path design with deep reinforcement learning

H Xie, D Yang, L Xiao, J Lyu - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we study the three-dimensional (3D) path planning problem for cellular-
connected unmanned aerial vehicle (UAV) taking into account the impact of 3D antenna …

Resource management in UAV-assisted MEC: state-of-the-art and open challenges

Z Xiao, Y Chen, H Jiang, Z Hu, JCS Lui, G Min… - Wireless …, 2022 - Springer
Unmanned aerial vehicles (UAV) have been widely used in various fields because of their
high mobility and portability. At the same time, due to the rapid development of artificial …

[HTML][HTML] Joint path planning and power allocation of a cellular-connected uav using apprenticeship learning via deep inverse reinforcement learning

A Shamsoshoara, F Lotfi, S Mousavi, F Afghah… - Computer Networks, 2024 - Elsevier
This paper investigates an interference-aware joint path planning and power allocation
mechanism for a cellular-connected unmanned aerial vehicle (UAV) in a sparse suburban …

A transfer learning approach for UAV path design with connectivity outage constraint

G Fontanesi, A Zhu, M Arvaneh… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The connectivity-aware path design is crucial in the effective deployment of autonomous
unmanned aerial vehicles (UAVs). Recently, reinforcement learning (RL) algorithms have …

Interference-aware path planning optimization for multiple UAVs in beyond 5G networks

J Lee, V Friderikos - Journal of Communications and Networks, 2022 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) as flying base stations (FBSs) is expected to
be an important architectural element in the beyond 5G/6G mobile wireless networks. A key …

Multitask allocation framework with spatial dislocation collision avoidance for multiple aerial robots

T Lei, C Luo, T Sellers, Y Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multitask allocation and trajectory planning for multiple unmanned aerial vehicles (UAVs)
have been extensively used in various real-world applications. This article presents a …