Accessing from the sky: A tutorial on UAV communications for 5G and beyond

Y Zeng, Q Wu, R Zhang - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …

Addressing disasters in smart cities through UAVs path planning and 5G communications: A systematic review

Z Qadir, F Ullah, HS Munawar, F Al-Turjman - Computer Communications, 2021 - Elsevier
UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …

Metaheuristic optimization-based path planning and tracking of quadcopter for payload hold-release mission

E Belge, A Altan, R Hacıoğlu - Electronics, 2022 - mdpi.com
Under harsh geographical conditions where manned flight is not possible, the ability of the
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …

Cache-enabling UAV communications: Network deployment and resource allocation

T Zhang, Y Wang, Y Liu, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the content distribution in the hotspot area, whose traffic is
offloaded by the combination of the unmanned aerial vehicle (UAV) communication and …

Robust 3D-trajectory and time switching optimization for dual-UAV-enabled secure communications

W Wang, X Li, R Wang, K Cumanan… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
This paper investigates a dual-unmanned aerial vehicle (UAV)-enabled secure
communication system, in which, a UAV moves around to send confidential messages to a …

Radio map-based 3D path planning for cellular-connected UAV

S Zhang, R Zhang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this paper, we study the three-dimensional (3D) path planning for a cellular-connected
unmanned aerial vehicle (UAV) to minimize its flying distance from given initial to final …

Multi-agent deep reinforcement learning based transmission latency minimization for delay-sensitive cognitive satellite-uav networks

S Guo, X Zhao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the
satellite-aerial networks are becoming a promising candidate to provide flexible and …

Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions

M Dai, N Huang, Y Wu, J Gao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …

Game combined multi-agent reinforcement learning approach for UAV assisted offloading

A Gao, Q Wang, W Liang, Z Ding - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Air ground integrated mobile cloud computing (MCC) provides unmanned aerial vehicles
(UAVs) the capability to act as an aerial relay with more flexibility and resilience. In the cloud …

Robust trajectory and transmit power optimization for secure UAV-enabled cognitive radio networks

Y Zhou, F Zhou, H Zhou, DWK Ng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cognitive radio is a promising technology to improve spectral efficiency. However, the
secure performance of a secondary network achieved by using physical layer security …