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 …

Unmanned aerial vehicle communications for civil applications: A review

M Ghamari, P Rangel, M Mehrubeoglu… - IEEE …, 2022 - ieeexplore.ieee.org
The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …

Embedded sensors, communication technologies, computing platforms and machine learning for UAVs: A review

AN Wilson, A Kumar, A Jha… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are increasingly becoming popular due to their use in
many commercial and military applications, and their affordability. The UAVs are equipped …

A survey on spectrum management for unmanned aerial vehicles (UAVs)

MA Jasim, H Shakhatreh, N Siasi, AH Sawalmeh… - IEEE …, 2021 - ieeexplore.ieee.org
The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …

Joint trajectory design and BS association for cellular-connected UAV: An imitation-augmented deep reinforcement learning approach

YJ Chen, DY Huang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article concerns the problem of the trajectory design and base station (BS) association
for cellular-connected unmanned aerial vehicles (UAVs). To support safety-critical functions …

[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work

S Ashtari, I Zhou, M Abolhasan, N Shariati, J Lipman… - Array, 2022 - Elsevier
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …

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 …

Ensuring reliable connectivity to cellular-connected UAVs with up-tilted antennas and interference coordination

MMU Chowdhury, I Guvenc, W Saad… - arXiv preprint arXiv …, 2021 - arxiv.org
To integrate unmanned aerial vehicles (UAVs) in future large-scale deployments, a new
wireless communication paradigm, namely, the cellular-connected UAV has recently …

Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues

E Mustafa, J Shuja, F Rehman, A Riaz, M Maray… - Journal of Network and …, 2024 - Elsevier
Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …

Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

X Jian, T Xu, J Zhang, Y Li, O Alfarraj… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
To realize energy efficient communication coverage enhancement for cooperative
unmanned aerial vehicles (UAVs) communications equipped with multi-beam array …