A review of edge computing: Features and resource virtualization

Y Mansouri, MA Babar - Journal of Parallel and Distributed Computing, 2021 - Elsevier
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Enabling technologies for ultra-reliable and low latency communications: From PHY and MAC layer perspectives

GJ Sutton, J Zeng, RP Liu, W Ni… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Future 5th generation networks are expected to enable three key services-enhanced mobile
broadband, massive machine type communications and ultra-reliable and low latency …

When internet of things meets metaverse: Convergence of physical and cyber worlds

K Li, Y Cui, W Li, T Lv, X Yuan, S Li, W Ni… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) has been studied in the context of the Metaverse
to provide users with immersive cyber-virtual experiences in mixed-reality environments …

Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing

L Wang, K Wang, C Pan, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …

Deep reinforcement learning for task offloading in mobile edge computing systems

M Tang, VWS Wong - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …

Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning

X Chen, H Zhang, C Wu, S Mao, Y Ji… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …

Optimal resource allocation for delay minimization in NOMA-MEC networks

F Fang, Y Xu, Z Ding, C Shen, M Peng… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) can enhance the computing capability of mobile
devices, while non-orthogonal multiple access (NOMA) can provide high data rates …

NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation

Y Wu, K Ni, C Zhang, LP Qian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …

Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing

L Wang, K Wang, C Pan, W Xu, N Aslam… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …

Mobility-aware multi-user offloading optimization for mobile edge computing

W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to
enhance the performance of user equipment (UE) by offloading resource-hungry …