Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

A survey on task offloading in multi-access edge computing

A Islam, A Debnath, M Ghose, S Chakraborty - Journal of Systems …, 2021 - Elsevier
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Scheduling policies for federated learning in wireless networks

HH Yang, Z Liu, TQS Quek… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Motivated by the increasing computational capacity of wireless user equipments (UEs), eg,
smart phones, tablets, or vehicles, as well as the increasing concerns about sharing private …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Federated learning via over-the-air computation

K Yang, T Jiang, Y Shi, Z Ding - IEEE transactions on wireless …, 2020 - ieeexplore.ieee.org
The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …

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 …

Fast adaptive task offloading in edge computing based on meta reinforcement learning

J Wang, J Hu, G Min, AY Zomaya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …

Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks

L Huang, S Bi, YJA Zhang - IEEE Transactions on Mobile …, 2019 - ieeexplore.ieee.org
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …

A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …