Extreme ultra-reliable and low-latency communication
J Park, S Samarakoon, H Shiri, MK Abdel-Aziz… - Nature …, 2022 - nature.com
Ultra-reliable and low-latency communication (URLLC) is central to fifth-generation (5G)
communication systems, but the fundamentals of URLLC remain elusive. New immersive …
communication systems, but the fundamentals of URLLC remain elusive. New immersive …
[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
UAV path planning using optimization approaches: A survey
A Ait Saadi, A Soukane, Y Meraihi… - … Methods in Engineering, 2022 - Springer
Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …
URLLC-enabled by laser powered UAV relay: A quasi-optimal design of resource allocation, trajectory planning and energy harvesting
Ultra-reliable and low-latency (URLLC) traffic in the upcoming sixth-generation (6G) systems
utilize short packets, signalling a distancing from traditional communication systems devised …
utilize short packets, signalling a distancing from traditional communication systems devised …
Communication-efficient massive UAV online path control: Federated learning meets mean-field game theory
This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …
straightforward method of control of UAVs by considering the interactions among them to …
A novel hybrid Coyote–Particle Swarm Optimization Algorithm for three-dimensional constrained trajectory planning of Unmanned Aerial Vehicle
Abstract Unmanned Aerial Vehicles (UAVs) have been considered the future of
transportation systems. However, mostly the reported optimizers struggle to estimate the …
transportation systems. However, mostly the reported optimizers struggle to estimate the …
Adaptive path planning for fusing rapidly exploring random trees and deep reinforcement learning in an agriculture dynamic environment UAVs
GGR Castro, GS Berger, A Cantieri, M Teixeira, J Lima… - Agriculture, 2023 - mdpi.com
Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …
to the possibility of covering a large area and the necessity of periodic monitoring. In …
Path planning for UAV communication networks: Related technologies, solutions, and opportunities
J Luo, Z Wang, M Xia, L Wu, Y Tian, Y Chen - ACM Computing Surveys, 2023 - dl.acm.org
Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With
the increasing demand of society and the continuous progress of technologies, UAV …
the increasing demand of society and the continuous progress of technologies, UAV …
Machine learning techniques in internet of UAVs for smart cities applications
FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …