Space/aerial-assisted computing offloading for IoT applications: A learning-based approach

N Cheng, F Lyu, W Quan, C Zhou, H He… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) computing offloading is a challenging issue, especially in remote
areas where common edge/cloud infrastructure is unavailable. In this paper, we present a …

Multi-server multi-user multi-task computation offloading for mobile edge computing networks

L Huang, X Feng, L Zhang, L Qian, Y Wu - Sensors, 2019 - mdpi.com
This paper studies mobile edge computing (MEC) networks where multiple wireless devices
(WDs) offload their computation tasks to multiple edge servers and one cloud server …

Deep reinforcement learning for vehicular edge computing: An intelligent offloading system

Z Ning, P Dong, X Wang, JJPC Rodrigues… - ACM Transactions on …, 2019 - dl.acm.org
The development of smart vehicles brings drivers and passengers a comfortable and safe
environment. Various emerging applications are promising to enrich users' traveling …

A PDDQNLP algorithm for energy efficient computation offloading in UAV-assisted MEC

N Lin, H Tang, L Zhao, S Wan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is a promising
technology to provide computational services to ground terminal devices (TDs) in remote …

Digital twin assisted task offloading for aerial edge computing and networks

B Li, Y Liu, L Tan, H Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …

DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks

A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …

A multi-agent deep reinforcement learning approach for computation offloading in 5G mobile edge computing

Z Gan, R Lin, H Zou - 2022 22nd IEEE International …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) in 5G networks has recently emerged as a promising
paradigm to enhance the data processing capabilities of mobile devices. Due to portability …

Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things

J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …

Decentralized User Allocation and Dynamic Service for Multi-UAV-Enabled MEC System

Y Luo, Y Wang, Y Lei, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the promising techniques and mobile applications of the Internet of Things (IoT) in the
fifth-generation (5G) wireless networks, the mobile edge computing (MEC) paradigm has …

Cooperative task offloading for mobile edge computing based on multi-agent deep reinforcement learning

J Yang, Q Yuan, S Chen, H He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driven by the prevalence of the computation-intensive and delay-intensive mobile
applications, Mobile Edge Computing (MEC) is emerging as a promising solution …