Mobile-edge computation offloading for ultradense IoT networks

H Guo, J Liu, J Zhang, W Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

Cost-minimized computation offloading of online multifunction services in collaborative edge-cloud networks

C Feng, P Han, X Zhang, Q Zhang… - … on Network and …, 2022 - ieeexplore.ieee.org
Cloud Computing (CC) is powerful for the computation offloading of services, promoting the
implementation of various modern applications. Mobile Edge Computing (MEC) can provide …

UAV-aided ultra-reliable low-latency computation offloading in future IoT networks

E El Haber, HA Alameddine, C Assi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern 5G services with stringent reliability and latency requirements such as smart
healthcare and industrial automation have become possible through the advancement of …

Energy-efficient task offloading and transmit power allocation for ultra-dense edge computing

H Guo, J Zhang, J Liu, H Zhang… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
In order to meet the ever-increasing demands on computational and spectrum resources in
the era of 5G and Internet of Things (IoT), mobile-edge computing (MEC) and ultra-dense …

Stable online computation offloading via lyapunov-guided deep reinforcement learning

S Bi, L Huang, H Wang… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we consider a multi-user mobile-edge computing (MEC) network with time-
varying wireless channels and stochastic user task data arrivals in sequential time frames. In …

Lyapunov-guided delay-aware energy efficient offloading in IIoT-MEC systems

H Wu, J Chen, TN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the increasingly humanized and intelligent operation of Industrial Internet of Things
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …

Efficient multi-user computation offloading for mobile-edge cloud computing

X Chen, L Jiao, W Li, X Fu - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …

Joint computation offloading and multiuser scheduling using approximate dynamic programming in NB-IoT edge computing system

L Lei, H Xu, X Xiong, K Zheng… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) connects a huge number of resource-constraint IoT devices to
the Internet, which generate massive amount of data that can be offloaded to the cloud for …

Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach

Y Li, DV Huynh, T Do‐Duy… - IET Signal …, 2022 - Wiley Online Library
A digital twin (DT) framework for Internet‐of‐thing (IoT) networks is proposed where
unmanned aerial vehicles (UAVs) acting as flying mobile edge computing (MEC) servers …

Optimal task offloading and resource allocation in mobile-edge computing with inter-user task dependency

J Yan, S Bi, YJ Zhang, M Tao - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has recently emerged as a cost-effective paradigm to
enhance the computing capability of hardware-constrained wireless devices (WDs). In this …