[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …
performance has become a critical issue. Many services provided by IoT devices (eg …
Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …
supporting data collection, machine learning (ML) model training, and wireless …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Online edge learning offloading and resource management for UAV-assisted MEC secure communications
Y Ding, Y Feng, W Lu, S Zheng, N Zhao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The mobile and flexible unmanned aerial vehicle (UAV) with mobile edge computing (MEC)
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …
can effectively relieve the computing pressure of the massive data traffic in 5G Internet of …
Dynamic UAV deployment for differentiated services: a multi-agent imitation learning based approach
Unmanned Aerial Vehicles (UAVs) have been utilized to serve on-ground users with various
services, eg, computing, communication and caching, due to their mobility and flexibility. The …
services, eg, computing, communication and caching, due to their mobility and flexibility. The …
Service provisioning for UAV-enabled mobile edge computing
Unmanned aerial vehicle (UAV)-enabled mobile edge computing has been recognized as a
promising technology to flexibly and efficiently handle computation-intensive and latency …
promising technology to flexibly and efficiently handle computation-intensive and latency …
Task offloading and trajectory control for UAV-assisted mobile edge computing using deep reinforcement learning
L Zhang, ZY Zhang, L Min, C Tang, HY Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has been widely employed to support various Internet of
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and …
Intelligent offloading and resource allocation in heterogeneous aerial access IoT networks
Aerial access networks, comprising a hierarchical model of high-altitude platforms (HAPs)
and multiple unmanned aerial vehicles (UAVs), are considered a promising technology to …
and multiple unmanned aerial vehicles (UAVs), are considered a promising technology to …