Compound model of task arrivals and load-aware offloading for vehicular mobile edge computing networks

L Li, H Zhou, SX Xiong, J Yang, Y Mao - IEEE Access, 2019 - ieeexplore.ieee.org
As autonomous and connected vehicles are becoming a reality, mobile-edge computing
(MEC) off-loading provides a promising paradigm to trade off between the long latency of …

Energy-efficient task offloading for vehicular edge computing: Joint optimization of offloading and bit allocation

Y Jang, J Na, S Jeong, J Kang - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
With the rapid development of vehicular networks, various applications that require high
computation resources have emerged. To efficiently execute these applications, vehicular …

Adaptive task offloading in vehicular edge computing networks based on deep reinforcement learning

R Shuai, L Wang, S Guo… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
To support the delay-sensitive application for vehicular communications, edge servers are
adopted and deployed in the roadside units to provide abundant computing resources for …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

A digital twin-assisted intelligent partial offloading approach for vehicular edge computing

L Zhao, Z Zhao, E Zhang, A Hawbani… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …

Intelligent task offloading algorithm for mobile edge computing in vehicular networks

Y Cui, Y Liang, R Wang - 2020 IEEE 91st vehicular technology …, 2020 - ieeexplore.ieee.org
Based on the research of network and computing, while considering the delay of vehicular
networks, this paper proposes an intelligent task offloading framework that can dynamically …

Dynamic task offloading for cloud-assisted vehicular edge computing networks: A non-cooperative game theoretic approach

MD Hossain, T Sultana, MA Hossain, MA Layek… - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is one of the prominent ideas to enhance the computation
and storage capabilities of vehicular networks (VNs) through task offloading. In VEC, the …

Multi-stage PSO-based cost minimization for computation offloading in vehicular edge networks

YH Wen, Q Zhang, H Yuan, J Bi - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
With the fast development of autonomous driving, the demand of computing resources
becomes a big challenge for resource-constrained vehicles. To alleviate this issue, vehicular …

Energy-efficient offloading decision-making for mobile edge computing in vehicular networks

X Huang, K Xu, C Lai, Q Chen, J Zhang - EURASIP Journal on Wireless …, 2020 - Springer
Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …

Deep reinforcement learning based computing offloading for mec-assisted heterogeneous vehicular networks

F Li, Y Lin, N Peng, Y Zhang - 2020 IEEE 20th International …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology that sinks cloud computing down
to the edge of the cellular network, so as to reduce latency and network congestion. In this …