Mobility-aware multiobjective task offloading for vehicular edge computing in digital twin environment
B Cao, Z Li, X Liu, Z Lv, H He - IEEE Journal on Selected Areas …, 2023 - ieeexplore.ieee.org
In vehicular edge computing (VEC), vehicle users (VUs) can offload their computation-
intensive tasks to edge server (ES) that provides additional computation resources. Due to …
intensive tasks to edge server (ES) that provides additional computation resources. Due to …
Digital twin-driven vehicular task offloading and IRS configuration in the Internet of Vehicles
Digital mymargin Twin (DT) and Intelligent Reflective Surface (IRS), the most two promising
technologies of 6G make the Internet of Vehicles (IoV) more adaptive. However, future …
technologies of 6G make the Internet of Vehicles (IoV) more adaptive. However, future …
Popularity-aware online task offloading for heterogeneous vehicular edge computing using contextual clustering of bandits
Vehicular edge computing (VEC) has become a promising enabler for ultrareliable and low-
latency communications (URLLC) vehicular networks by providing computational resources …
latency communications (URLLC) vehicular networks by providing computational resources …
Distributed clustering-based cooperative vehicular edge computing for real-time offloading requests
Mobile vehicles have been considered as potential edge servers to provide computation
resources for the emerging Intelligent Transportation System (ITS) applications. However …
resources for the emerging Intelligent Transportation System (ITS) applications. However …
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 …
Learning-based decentralized offloading decision making in an adversarial environment
Vehicular fog computing (VFC) pushes the cloud computing capability to the distributed fog
nodes at the edge of the Internet, enabling compute-intensive and latency-sensitive …
nodes at the edge of the Internet, enabling compute-intensive and latency-sensitive …
Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach
ZD Huang, XF Wu, SB Dong - Computer Communications, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) provides a flexible distributed computing
paradigm for offloading computations to the vehicular network, which can effectively solve …
paradigm for offloading computations to the vehicular network, which can effectively solve …
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 …
Decision-making of IoT device operation based on intelligent-task offloading for improving environmental optimization
Computation offloading enables intensive computational tasks to be separated into multiple
computing resources for overcoming hardware limitations. Leveraging cloud computing …
computing resources for overcoming hardware limitations. Leveraging cloud computing …
PHY security design for mobile crowd computing in ICV networks based on multi-agent reinforcement learning
In this paper, we propose a multi-roadside unit (RSU) assisted mobile crowd computing
framework for intelligently connected vehicle (ICV) networks, where vehicles within RSUs' …
framework for intelligently connected vehicle (ICV) networks, where vehicles within RSUs' …