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 …
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
Future 5th generation networks are expected to enable three key services-enhanced mobile
broadband, massive machine type communications and ultra-reliable and low latency …
broadband, massive machine type communications and ultra-reliable and low latency …
When internet of things meets metaverse: Convergence of physical and cyber worlds
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 …
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
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 …
proposed, where several UAVs having different trajectories fly over the target area and …
Deep reinforcement learning for task offloading in mobile edge computing systems
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 …
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
To improve the quality of computation experience for mobile devices, mobile-edge
computing (MEC) is a promising paradigm by providing computing capabilities in close …
computing (MEC) is a promising paradigm by providing computing capabilities in close …
Optimal resource allocation for delay minimization in NOMA-MEC networks
Multi-access edge computing (MEC) can enhance the computing capability of mobile
devices, while non-orthogonal multiple access (NOMA) can provide high data rates …
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
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 …
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
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 …
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
Mobility-aware multi-user offloading optimization for mobile edge computing
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to
enhance the performance of user equipment (UE) by offloading resource-hungry …
enhance the performance of user equipment (UE) by offloading resource-hungry …