A Survey on Applications of Unmanned Aerial Vehicles using Machine Learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
[HTML][HTML] MuHoW: Distributed protocol for resource sharing in collaborative edge-computing networks
The incorporation of end devices in the edge-to-cloud continuum yields substantial benefits
to conventional cloud computing frameworks, expediting communication between end …
to conventional cloud computing frameworks, expediting communication between end …
Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Vehicular Edge Computing Networks
J Yan, X Zhao, Z Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered to be a key technology to improve the
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …
processing efficiency of computing tasks for the Internet of Vehicles (IoV). Using roadside …
Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model
To meet the demands for ubiquitous communication and temporary edge computing in 6G
networks, aerial mobile edge computing (MEC) networks have been envisioned as a new …
networks, aerial mobile edge computing (MEC) networks have been envisioned as a new …
Joint Computation Offloading and Target Tracking in Integrated Sensing and Communication Enabled UAV Networks
T Van Chien, MD Cong, NC Luong… - IEEE …, 2024 - ieeexplore.ieee.org
In this letter, we investigate a joint computation offloading and target tracking in Integrated
Sensing and Communication (ISAC)-enabled unmanned aerial vehicle (UAV) network …
Sensing and Communication (ISAC)-enabled unmanned aerial vehicle (UAV) network …
Intelligent UAV planning for task-offloading with limited buffer and multiple computing servers
X Chen, R Ma - Physical Communication, 2024 - Elsevier
Abstract Dynamically moving Unmanned Aerial Vehicles (UAVs) have emerged as an
effective means to significantly enhance the flexibility and transmission performance of …
effective means to significantly enhance the flexibility and transmission performance of …
Impact of UAV Failure and Severe Weather Conditions in mmWave and Terahertz Signals for AeriaL Edge Computing
RW Ibrahim, TK Rodrigues… - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
With the increasing demand for low-latency data processing and resource-intensive
applications in vehicular networks, leveraging unmanned aerial vehicles (UAVs) for edge …
applications in vehicular networks, leveraging unmanned aerial vehicles (UAVs) for edge …
NOMA-Empowered Federated Learning for Enhancing Uplink Efficiency in Wireless Networks
This paper proposes an uplink non-orthogonal multiple access (NOMA)-assisted federated
learning (FL) framework to enhance the stable and accurate convergence in wireless …
learning (FL) framework to enhance the stable and accurate convergence in wireless …