Adaptive computation offloading with edge for 5G-envisioned internet of connected vehicles

X Xu, X Zhang, X Liu, J Jiang, L Qi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the applications related to Internet of connected vehicles (IoCV) have been
greatly promoted by the roadside units (RSUs). To improve the transmission efficiency by the …

GreenEdge: Joint green energy scheduling and dynamic task offloading in multi-tier edge computing systems

H Ma, P Huang, Z Zhou, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As mobile edge computing (MEC) emerges as a paradigm to meet the ever-increasing
computation demands from real-time Internet of Things (IoT) applications in 5 G era, the …

Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Drl-driven joint task offloading and resource allocation for energy-efficient content delivery in cloud-edge cooperation networks

C Fang, Z Hu, X Meng, S Tu, Z Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the proliferation of mobile devices (eg, vehicles and smartphones), rich media content
services from massive users lead to high network resource consumption and energy usage …

Learning for computation offloading in mobile edge computing

TQ Dinh, QD La, TQS Quek… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is expected to provide cloud-like capacities for mobile users
(MUs) at the edge of wireless networks. However, deploying MEC systems faces many …

Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks

N Kiran, C Pan, S Wang, C Yin - Journal of Communications …, 2019 - ieeexplore.ieee.org
The rapid growth of the internet usage and the distributed computing resources of edge
devices create a necessity to have a reasonable controller to ensure efficient utilization of …

Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks

S Bi, L Huang, H Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Opportunistic computation offloading is an effective method to improve the computation
performance of mobile-edge computing (MEC) networks under dynamic edge environment …

Reducing offloading latency for digital twin edge networks in 6G

W Sun, H Zhang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Energy-efficient resource allocation for mobile-edge computation offloading

C You, K Huang, H Chae… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

Intelligent resource allocation for edge-cloud collaborative networks: A hybrid DDPG-D3QN approach

H Hu, D Wu, F Zhou, X Zhu, RQ Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To handle the ever-increasing IoT devices with computation-intensive and delay-critical
applications, it is imperative to leverage the collaborative potential of edge and cloud …