• Home
  • Search
  • Intelligent Task Offloading for Heterogeneous V2X Communications
  • Cite Icon142
  • https://doi.org/10.1109/tits.2020.3015210Copy DOI Icon

Intelligent Task Offloading for Heterogeneous V2X Communications

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

With the rapid development of autonomous driving technologies, it becomes difficult to reconcile the conflict between ever-increasing demands for high process rate in the intelligent automotive tasks and resource-constrained on-board processors. Fortunately, vehicular edge computing (VEC) has been proposed to meet the pressing resource demands. Due to the delay-sensitive traits of automotive tasks, only a heterogeneous vehicular network with multiple access technologies may be able to handle these demanding challenges. In this article, we propose an intelligent task offloading framework in heterogeneous vehicular networks with three Vehicle-to-Everything (V2X) communication technologies, namely Dedicated Short Range Communication (DSRC), cellular-based V2X (C-V2X) communication, and millimeter wave (mmWave) communication. Based on stochastic network calculus, this article firstly derives the delay upper bounds of different offloading technologies with certain failure probabilities. Moreover, we propose a federated Q-learning method that optimally utilizes the available resources to minimize the communication/computing budgets and the offloading failure probabilities. Simulation results indicate that our proposed algorithm can significantly outperform the existing algorithms in terms of resource cost and offloading failure probability.

Similar Papers
  • Research Article
  • Citations29

Predict and prevent from misbehaving intruders in heterogeneous vehicular networks

  • Dec 28, 2016
  • Vehicular Communications
  • Hichem Sedjelmaci +2
  • Conference Article
  • Citations11

Network Selection in Heterogeneous Vehicular Network: A One-to-Many Matching Approach

  • May 01, 2020
  • Qi Si +4
  • Single Book
  • Citations14

Heterogeneous Vehicular Networks

  • Jan 01, 2016
  • Kan Zheng +3
  • Book Chapter
  • Citations20

V2X Communication Technology: Field Experience and Comparative Analysis

  • Oct 23, 2012
  • Heri Rakouth +10
  • Conference Article
  • Citations8

An IPv6 architecture for cloud-to-vehicle smart mobility services over heterogeneous vehicular networks

  • Nov 01, 2014
  • Panagiotis Matzakos +3
  • Conference Article
  • Citations28

Heterogeneous LTE/DSRC Approach to Support Real-time Vehicular Communications

  • Aug 01, 2018
  • Xiaoman Shen +4
  • Research Article
  • Citations15

Performance Evaluation of the Physical Layer of the DSRC Operating in 5.8 GHz Frequency Band

  • Sep 01, 2001
  • ETRI Journal
  • Byung-Seub Lee Lee +3
  • PDF
  • Research Article
  • Citations5

LAB: Lightweight Adaptive Broadcast Control in DSRC Vehicular Networks

  • Jan 01, 2018
  • Wireless Communications and Mobile Computing
  • Linsheng Ye +4
  • Conference Article

A Reputation and Security Mechanism for Heterogeneous Vehicular Networks

  • Jun 30, 2022
  • Ana M B C Quevedo +4
  • Conference Article
  • Citations1

Performance analysis for multi-carrier system based on stochastic network calculus

  • Nov 01, 2015
  • Pengxiang Li +4
  • Conference Article
  • Citations9

Performance Comparison of Communication Technologies for V2X Applications

  • Jun 01, 2020
  • Manu S +1
  • Conference Article
  • Citations18

A communication architecture for wireless power transfer services based on DSRC technology

  • Jun 01, 2016
  • Andrea Gil Batres +2
  • Research Article
  • Citations425

Challenges and Solutions for Cellular Based V2X Communications

  • Oct 08, 2020
  • IEEE Communications Surveys & Tutorials
  • Sohan Gyawali +3
  • Book Chapter
  • Citations8

Handover Mechanisms in Internet of Vehicles (IoV)

  • Jul 12, 2019
  • Livinus Tuyisenge +3
  • PDF
  • Research Article
  • Citations1

Research on Sparse Code Multiple Access Technology

  • Aug 01, 2021
  • Journal of Physics: Conference Series
  • Yujie Chen +1
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.