Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Navigating the road ahead: A comprehensive survey of radio resource allocation for vehicle platooning in C-V2X communications

C Yang, CF Kwong, D Chieng, P Kar… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communications have emerged as an indispensable
component of the Intelligent Transportation Systems (ITS), fostering innovations that …

Incentive mechanism and resource allocation for edge-fog networks driven by multi-dimensional contract and game theories

M Diamanti, P Charatsaris… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The edge computing paradigm has become extremely popular over the past years, as a
means of offloading computationally intensive tasks by users of resource and battery …

Learning based channel allocation and task offloading in temporary UAV-assisted vehicular edge computing networks

C Yang, B Liu, H Li, B Li, K Xie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
High-level autonomous decision making system is one of the key technologies in intelligent
transportation networks, it requires the traffic information within a certain range of vehicles in …

Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks

T Xiao, C Chen, M Dong, K Ota, L Liu… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Utilizing the stable underlying and cloud-native functions of vehicle platoons allows for
flexible resource provisioning in environments with limited infrastructure, particularly for …

SFO: An adaptive task scheduling based on incentive fleet formation and metrizable resource orchestration for autonomous vehicle platooning

T Xiao, C Chen, Q Pei, Z Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous vehicle platooning has tremendous potential to relieve the burden of Vehicular
Edge Computing (VEC) by sharing resources with nearby vehicles. Therefore, fleet …

Deep Reinforcement Learning-Based Computation Offloading and Power Allocation within Dynamic Platoon Network

L Wang, H Liang, D Zhao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of Internet of Vehicles (IoV) technology and the application of artificial
intelligence-based algorithms, platoon driving based on connected autonomous vehicles …

Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks

Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …

[HTML][HTML] 车路协同环境下混合交通群体智能仿真与测试研究综述

上官伟, 李鑫, 柴琳果, 曹越, 陈晶晶… - 交通运输工程 …, 2022 - transport.chd.edu.cn
归纳了车路协同及其仿真测试技术的发展历程, 并结合典型仿真结果探讨了萌芽期, 起步期,
发展期阶段下的仿真需求, 经典方法与技术瓶颈; 在此基础上, 提出了基于交通主体建模 …

Data-driven resource allocation and group formation for platoon in V2X networks with CSI uncertainty

G Chai, W Wu, Q Yang, FR Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the joint resource allocation and group formation for platoon in
vehicle-to-everything (V2X) networks under vehicular channel uncertainty. To achieve the …