Fundamental design aspects of UAV-enabled MEC systems: A review on models, challenges, and future opportunities

MH Adnan, ZA Zukarnain, OA Amodu - Computer Science Review, 2024 - Elsevier
The huge prospects of the internet of things (IoT) have led to an ever-growing demand for
computing power by IoT users to enable various applications. Multi-access edge computing …

Deep Reinforcement Learning-Based Computation Offloading for Servicing Dynamic Demand in Multi-UAV-Assisted IoT Network

N Lin, L Bai, A Hawbani, Y Guan, C Mao… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In wireless networks, meeting the performance requirements of all tasks solely with Internet
of Things (IoT) devices is challenging due to their limited computational power and battery …

Energy Efficient Edge Computing and Data Compression Collaboration Scheme for UAV-assisted Network

K Cheng, X Fang, X Wang - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Edge computing is a promising technique that can assist wireless devices (WDs) in
processing computation tasks by offloading them to nearby base stations for reducing …

Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles

J Zheng, J Xu, H Du, D Niyato, J Kang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Lightweight training and distributed tiny data storage in local model will lead to the severe
challenge of convergence for tiny federated learning (FL). Achieving fast convergence in tiny …

Computation-Efficient Grouping, Trajectory and Resource Allocation for UAV Swarm-Assisted Aerial-Ground Collaborative Computing Networks

H Hu, Z Chen, F Zhou, RQ Hu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) swarms have found widespread applications in executing
high-complexity and remote-risk missions. However, the limited onboard resources and …

Method of minimizing energy consumption for RIS assisted UAV mobile edge computing system

Z Zhuo, S Dong, H Zheng, Y Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
In urban settings, the highly complex communication environment leads to a frequent
occurrence blockage in the link between ground users and unmanned aerial vehicle (UAV) …

Energy-Efficient Joint Trajectory and Reflecting Design in IRS-Enabled UAV Edge Computing

Z Huang, Z Kuang, S Lin, F Hou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) enabled unmanned aerial vehicle (UAV) edge computing,
a new communication technology, can provide sufficient capacity for edge computing …

Sky's the Limit: Navigating 6G with ASTAR-RIS for UAVs Optimal Path Planning

S Ahmed, AE Kamal - 2023 IEEE Symposium on Computers …, 2023 - ieeexplore.ieee.org
The surge in the number of various types of connected devices with the upcoming 6G
networks may surpass the capabilities of traditional wireless infrastructure. Specifically …

Transmission-Efficient RIS-carrying UAV's Auxiliary Communication Systems for Intelligent Connected Vehicle Platoons at the Unsignalized Intersection in Smart …

X Duan, Y Zhao, D Tian, J Zhou… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Numerous interaction demands for smart cities have arisen due to the explosive growth of
the Internet of Things and mobile communication. Due to its passive low energy …

IRS-assisted energy efficient communication for UAV mobile edge computing

S Zhang, H Jin, P Guo - Computer Networks, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) combined with mobile edge computing (MEC) servers
assist ground terminals (GTs) for communication and computation in wireless networks …