Computing offloading strategy in mobile edge computing environment: a comparison between adopted frameworks, challenges, and future directions
With the proliferation of the Internet of Things (IoT) and the development of wireless
communication technologies such as 5G, new types of services are emerging and mobile …
communication technologies such as 5G, new types of services are emerging and mobile …
A comprehensive review on internet of things task offloading in multi-access edge computing
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …
are more inclined to offload computing tasks to higher-performance computing servers …
Resource constrained vehicular edge federated learning with highly mobile connected vehicles
This paper proposes a vehicular edge federated learning (VEFL) solution, where an edge
server leverages highly mobile connected vehicles'(CVs') onboard central processing units …
server leverages highly mobile connected vehicles'(CVs') onboard central processing units …
Deep reinforcement learning-based online resource management for uav-assisted edge computing with dual connectivity
Mobile Edge Computing (MEC) is a key technology towards delay-sensitive and
computation-intensive applications in future cellular networks. In this paper, we consider a …
computation-intensive applications in future cellular networks. In this paper, we consider a …
Joint resource and trajectory optimization for heterogeneous-UAVs enabled aerial-ground cooperative computing networks
The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) is a promising
paradigm for providing extensive coverage and additional computation services to the …
paradigm for providing extensive coverage and additional computation services to the …
Task offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach
AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
Human-centric resource allocation in the metaverse over wireless communications
The Metaverse will provide numerous immersive applications for human users, by
consolidating technologies like extended reality (XR), video streaming, and cellular …
consolidating technologies like extended reality (XR), video streaming, and cellular …
Time-slotted task offloading and resource allocation for cloud-edge-end cooperative computing networks
W Fan, X Liu, H Yuan, N Li, Y Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In time-slotted edge computing systems, task scheduling is conducted at the end of each
time slot to make task offloading decisions and resource allocation for all the tasks pending …
time slot to make task offloading decisions and resource allocation for all the tasks pending …
Federated submodular maximization with differential privacy
Submodular maximization is a fundamental problem in many Internet of Things applications,
such as sensor placement, resource allocation, and mobile crowdsourcing. Despite being …
such as sensor placement, resource allocation, and mobile crowdsourcing. Despite being …
Task offloading and resource allocation for industrial Internet of Things: A double-dueling deep Q-network approach
W Cheng, X Liu, X Wang, G Nie - IEEE Access, 2022 - ieeexplore.ieee.org
With the development of 5G technology, Mobile Edge Computing (MEC) has become a
promising technology that is widely used in the Industrial Internet of Things (IIoT) and other …
promising technology that is widely used in the Industrial Internet of Things (IIoT) and other …