UAV-Assisted MEC with an Expandable Computing Resource Pool: Rethinking the UAV Deployment

Y Deng, H Zhang, X Chen… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a promising solution to establish links
to reach edge servers (ESs) in scenarios where ground users (GUs) lack direct connections …

Two time-scale joint service caching and task offloading for UAV-assisted mobile edge computing

R Zhou, X Wu, H Tan, R Zhang - IEEE INFOCOM 2022-IEEE …, 2022 - ieeexplore.ieee.org
The emergence of unmanned aerial vehicles (UAVs) extends the mobile edge computing
(MEC) services in broader coverage to offer new flexible and low-latency computing …

MATD3-Based Joint User Association and Resource Allocation in UAV Networks

H Zhang, J Du, C Jiang, A Fakhreddine… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
In recent years, mobile edge computing (MEC) has been proposed as a promising
technique to alleviate the challenges faced by delay and computation-intensive applications …

A survey on UAV-enabled edge computing: Resource management perspective

X Xia, SMM Fattah, MA Babar - ACM Computing Surveys, 2023 - dl.acm.org
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

Joint Service Caching and Trajectory Optimization for Multi-UAV Assisted Multi-access Edge Computing

X Zhang, Y Deng, H Zhang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play a pivotal role in augmenting multi-access edge
computing by facilitating low-latency services for ground units (GUs), especially in areas …

Joint power and deployment optimization for multi-UAV remote edge computing

X He, R Jin, H Dai - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
Driven by the dramatic growth in computing capability and the inherent mobility of the
unmanned aerial vehicles (UAVs), the recently advocated UAV edge computing paradigm is …

Joint Trajectory and Resource Optimization for UAV and D2D-enabled Heterogeneous Edge Computing Networks

Y Zhang, X Hou, H Du, L Zhang, J Du… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As user equipments (UEs) and infrastructure evolve, the network architecture becomes
increasingly heterogeneous, presenting challenges in managing diverse communication …

Computation offloading and resource allocation in unmanned aerial vehicle networks

B Liu, C Liu, M Peng - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Deploying unmanned aerial vehicles (UAVs) as mobile edge computing (MEC) servers has
been attracting significant attention, since the UAVs' inherent maneuverability and mobility …

Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions

N Fatima, P Saxena, M Gupta - Physical Communication, 2022 - Elsevier
During the last decade, research and development in the field of multi access edge
computing (MEC) has rapidly risen to prominence. One of the factors propelling MEC's …

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 …