Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
Adaptive tracking and perching for quadrotor in dynamic scenarios
Perching on the moving platforms is a promising solution to enhance the endurance and
operational range of quadrotors, which could benefit the efficiency of a variety of air ground …
operational range of quadrotors, which could benefit the efficiency of a variety of air ground …
An improved particle swarm optimization algorithm for UAV base station placement
F Pasandideh, F E. Rodriguez Cesen… - Wireless Personal …, 2023 - Springer
In cellular networks, a set of Base Stations (BSs) might be out of service and failed in the
aftermath of natural disasters. One of the promising solutions to fix this situation is to send …
aftermath of natural disasters. One of the promising solutions to fix this situation is to send …
[HTML][HTML] Deep reinforcement learning for joint trajectory planning, transmission scheduling, and access control in UAV-assisted wireless sensor networks
Unmanned aerial vehicles (UAVs) can be used to relay sensing information and
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
[HTML][HTML] Energy-efficient multi-uavs cooperative trajectory optimization for communication coverage: An madrl approach
T Ao, K Zhang, H Shi, Z Jin, Y Zhou, F Liu - Remote Sensing, 2023 - mdpi.com
Unmanned Aerial Vehicles (UAVs) can be deployed as aerial wireless base stations which
dynamically cover the wireless communication networks for Ground Users (GUs). The most …
dynamically cover the wireless communication networks for Ground Users (GUs). The most …
Efficient three‐dimensional deployment of multiple unmanned aerial vehicles supporting ground base station toward maximizing served users with heterogeneous …
KF Hayajneh, F Abualkishik… - Transactions on …, 2023 - Wiley Online Library
Unmanned aerial vehicles (UAVs) are critical in wireless networks that can provide wireless
broadcast and high‐rate transmissions. UAVs can be used as flying base stations without an …
broadcast and high‐rate transmissions. UAVs can be used as flying base stations without an …
Dynamic uav swarm collaboration for multi-targets tracking under malicious jamming: Joint power, path and target association optimization
In this paper, the multi-target tracking (MTT) with an unmanned aerial vehicle (UAV) swarm
is investigated in the presence of jammers, where UAVs in the swarm communicate with …
is investigated in the presence of jammers, where UAVs in the swarm communicate with …
Collaborative learning with a drone orchestrator
MB Mashhadi, M Mahdavimoghadam… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, the problem of drone-assisted collaborative learning is considered. In this
scenario, swarm of intelligent wireless devices train a shared neural network (NN) model …
scenario, swarm of intelligent wireless devices train a shared neural network (NN) model …