MESON: A mobility-aware dependent task offloading scheme for urban vehicular edge computing
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
A Tutorial on Bandit Learning and Its Applications in 5G Mobile Edge Computing (Invited Paper)
Due to the rapid development of 5G and Internet-of-Things (IoT), various emerging
applications have been catalyzed, ranging from face recognition, virtual reality to …
applications have been catalyzed, ranging from face recognition, virtual reality to …
Offloading dependent tasks in edge computing with unknown system-side information
We consider the problem of dependent task offloading in edge computing with unknown
system-side information (eg, edge transmission rate and computation resources). In this …
system-side information (eg, edge transmission rate and computation resources). In this …
Bandit Learning for Distributed Task Offloading in Fog Computing Networks: Literature Review, Challenges, and Open Research Issues
H Tran-Dang, DS Kim - International Conference on Network-Based …, 2023 - Springer
This paper provides an overview of distributed task offloading approaches in fog computing
using bandit learning. Task offloading is a pivotal technique that allows mobile devices to …
using bandit learning. Task offloading is a pivotal technique that allows mobile devices to …
Contextual user-centric task offloading for mobile edge computing in ultra-dense network
Integrating mobile edge computing (MEC) in ultra-dense network (UDN) is a key enabler to
meet the service demand by allowing smart devices to perform uninterrupted task offloading …
meet the service demand by allowing smart devices to perform uninterrupted task offloading …
Bandit learning-based distributed computation in fog computing networks: A survey
H Tran-Dang, KH Kwon, DS Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Fog computing is a decentralized computing infrastructure that extends the capabilities of
cloud computing closer to the edge of the network. In a fog computing network (FCN) …
cloud computing closer to the edge of the network. In a fog computing network (FCN) …
Long-term contracts with dynamic asymmetric information for traffic offloading in heterogeneous 5G and beyond networks
To achieve a green heterogeneous 5G network, a promising approach is to shut off the light-
loaded low-power nodes (LPNs) and transfer the load to the remote radio heads (RRHs) …
loaded low-power nodes (LPNs) and transfer the load to the remote radio heads (RRHs) …
Multiagent meta-reinforcement learning for optimized task scheduling in heterogeneous edge computing systems
Mobile-edge computing (MEC) brings the potential to address the ever increasing
computation demands from the mobile users (MUs). In addition to local processing, the …
computation demands from the mobile users (MUs). In addition to local processing, the …
Secure and multi-step computation offloading and resource allocation in ultra-dense multi-task NOMA-enabled IoT networks
T Zhou, Y Fu, D Qin, X Nie, N Jiang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Ultradense networks are widely regarded as a promising solution to explosively growing
applications of Internet of Things (IoT) mobile devices (IMDs). However, complicated and …
applications of Internet of Things (IoT) mobile devices (IMDs). However, complicated and …
Fast Adaptive Task Offloading and Resource Allocation in Large-Scale MEC Systems via Multiagent Graph Reinforcement Learning
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In multiaccess edge computing (MEC), when many mobile devices (MDs) offload their tasks
to an edge server (ES), its resources might become constrained. These tasks may take a …
to an edge server (ES), its resources might become constrained. These tasks may take a …