Enabling long mmWave aerial backhaul links via fixed-wing UAVs: Performance and design

MT Dabiri, M Hasna, N Zorba, T Khattab… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We propose a fixed-wing unmanned aerial vehicles (UAV)-based millimeter wave
(mmWave) backhaul architecture that is offered as a cost effective and easy to deploy …

[HTML][HTML] Path planning research of a UAV base station searching for disaster victims' location information based on deep reinforcement learning

J Zhao, Z Gan, J Liang, C Wang, K Yue, W Li, Y Li, R Li - Entropy, 2022 - mdpi.com
Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when
performing search tasks, this paper proposes a Double DQN-state splitting Q network …

Energy consumption and communication quality tradeoff for logistics UAVs: A hybrid deep reinforcement learning approach

J Cao, L **ao, D Yang, F Wu - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
In this paper, we consider a multi-user oriented UAV cargo delivery system, cellular-
connected UAV fly to all users within the distribution range successively from the starting …

Enabling flexible arial backhaul links for post disasters: A design using UAV swarms and distributed charging stations

MT Dabiri, M Hasna, N Zorba… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In this article, our target is to design a permanent long backhaul link using unmanned aerial
vehicle (UAV) relays and charge stations (CSs) to transfer data from the nearest core …

TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields

S Liu, S Li, H Li, W Li, J Tan - arxiv preprint arxiv:2403.14877, 2024 - arxiv.org
Electric vertical-takeoff and landing (eVTOL) aircraft, recognized for their maneuverability
and flexibility, offer a promising alternative to our transportation system. However, the …

Intelligent Energy-Efficient and Fair Resource Scheduling for UAV-Assisted Space-Air-Ground Integrated Networks Under Jamming Attacks

S Chen, H Yang, L **ao, C Xu, X **e… - 2024 IEEE 99th …, 2024 - ieeexplore.ieee.org
The space-air-ground integrated network (SAGIN) is a crucial technology for sixth-
generation (6G) wireless communication networks to achieve seamless coverage and high …

Deep reinforcement learning based trajectory real-time planning for hypersonic gliding vehicles

J Li, S Song, X Shi - … Engineers, Part G: Journal of Aerospace …, 2024 - journals.sagepub.com
To overcome the shortcomings of traditional NLP methods for trajectory planning problems,
an intelligent trajectory real-time planning method is designed for hypersonic gliding …

Path design for portable access point in joint sensing and communications under energy constraints

X **g, F Liu, C Masouros - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
We consider an unmanned aerial vehicle (UAV) based joint radar localization and
communication system, where a UAV transmits the downlink signal to a ground …

Cost-Efficient Deployment of a Reliable Multi-UAV Unmanned Aerial System

N Babu, P Popovski… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
In this work, we study the trade-off between the reliability and the investment cost of an
unmanned aerial system (UAS) consisting of a set of unmanned aerial vehicles (UAVs) …

Age of Information in UAV-Assisted Real-Time IoT Systems with Obstacle Avoidance

X Ma, B Zhou, W Wang, Q Wu - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
This work investigates an unmanned aerial vehicle (UAV)-assisted real-time Internet of
Things (IoT) system in a complex urban environment, where the UAV senses the status …