Computing on wheels: A deep reinforcement learning-based approach

SMA Kazmi, TM Ho, TT Nguyen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Future generation vehicles equipped with modern technologies will impose unprecedented
computational demand due to the wide adoption of compute-intensive services with …

Decentralized convex optimization for joint task offloading and resource allocation of vehicular edge computing systems

K Tan, L Feng, G Dán… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) systems exploit resources on both vehicles and Roadside
Units (RSUs) to provide services for real-time vehicular applications that cannot be …

[HTML][HTML] An efficient task offloading scheme in vehicular edge computing

S Raza, W Liu, M Ahmed, MR Anwar, MA Mirza… - Journal of Cloud …, 2020 - Springer
Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

Dependency-aware task offloading and service caching in vehicular edge computing

Q Shen, BJ Hu, E Xia - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

Latency-energy tradeoff in connected autonomous vehicles: A deep reinforcement learning scheme

I Budhiraja, N Kumar, H Sharma… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing
closer to user equipment (UEs) at the edge of the access network by delivering various …

Handover-enabled dynamic computation offloading for vehicular edge computing networks

H Maleki, M Başaran… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The computation offloading technique is a promising solution that empowers
computationally limited resource devices to run delay-constrained applications efficiently …

[HTML][HTML] Joint offloading decision and resource allocation in vehicular edge computing networks

S Wang, X Song, H Xu, T Song, G Zhang… - Digital Communications …, 2023 - Elsevier
With the rapid development of Intelligent Transportation Systems (ITS), many new
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …

QoS-aware task offloading and resource allocation optimization in vehicular edge computing networks via MADDPG

J Liu, Y Wang, D Pan, D Yuan - Computer Networks, 2024 - Elsevier
To meet the stringent requirements for real-time performance of computing tasks on the
Internet of Vehicles (IoV) scenario, the Mobile Edge Computing (MEC) technique is …

DNN Partition and Offloading Strategy with Improved Particle Swarm Genetic Algorithm in VEC

C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

Aphto: a task offloading strategy for autonomous driving under mobile edge

JC Lin, HL Rao, SS Liang, YM Zhao, Q Ren… - The Journal of …, 2024 - Springer
With the increasing complexity of autonomous driving tasks, the computational demands on
single vehicular computing units have escalated, more and more tasks need to be offloaded …