BARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

Z Sun, G Sun, Y Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …

Load balancing for distributed intelligent edge computing: A state-based game approach

F Zhang, R Deng, X Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The introduction of artificial intelligence (AI) into edge computing could significantly improve
its quality of service. Connecting them into a system can provide services for a wider range …

A parallel intelligence-driven resource scheduling scheme for digital twins-based intelligent vehicular systems

J Yang, F Lin, C Chakraborty, K Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

Joint communication and computation resource allocation in fog-based vehicular networks

X Zhang, M Peng, S Yan, Y Sun - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
To satisfy the low-latency requirements of emerging computation-intensive vehicular
services, offloading these services to edge or cloud servers has been recognized as an …

Intelligent resource allocation for utility optimization in rsu-empowered vehicular network

C Tang, C Zhu, X Wei, H Wu, Q Li… - IEEE Access, 2020 - ieeexplore.ieee.org
Intelligent transportation system (ITS) has attracted extensive attention in both academia and
industry for its potential benefits. For example, ITS is dedicated to convenient, economical …

Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach

X Ye, M Li, P Si, R Yang, Z Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, the rise of the Internet of Vehicles (IoV) has driven the broad development of
intelligent transportation and smart cities. In order to promote the computing power of mobile …

Network slicing with load-balancing for task offloading in vehicular edge computing

K Hejja, S Berri, H Labiod - Vehicular Communications, 2022 - Elsevier
The support of edge computing for vehicular technologies gained increasing momentum
with 5G to fulfill efficient offloading tasks from vehicles towards the edge nodes. Accordingly …

Edge-centric bandit learning for task-offloading allocations in multi-RAT heterogeneous networks

B Wu, T Chen, K Yang, X Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The exponential growth of data traffic from mobile devices leads to a need of heterogeneous
networks (HetNets) which integrate multiple radio access technologies (multi-RATs) to …

Fully-Decentralized Fairness-Aware Federated MEC Small-Cell Peer-Offloading for Enterprise Management Networks

HR Chi, A Radwan - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In order to fit the requirements of future enterprise management networks with multiple
service providers, conventional mobile edge computing enabled small cells (MEC-SCs) …

An efficient caching policy for content retrieval in autonomous connected vehicles

M Rahim, MA Javed, AN Alvi, M Imran - Transportation Research Part A …, 2020 - Elsevier
Connected vehicles will enable the smart and autonomous transportation systems in the
future. Cellular Vehicle-to-Everything (C-V2X) communication will provide wireless …