DRL-Driven Dual-Stage Resource Optimization Strategy for Efficient Computational Offloading in MEC-Enabled Vehicular Networks

Maryum Bibi; Syed Asad Ullah; Haejoon Jung; Syed Ali Hassan

doi:10.1109/tvt.2025.3563195

ScienceGate Book Chapters

JOURNAL ARTICLE

DRL-Driven Dual-Stage Resource Optimization Strategy for Efficient Computational Offloading in MEC-Enabled Vehicular Networks

Maryum Bibi Syed Asad Ullah Haejoon Jung Syed Ali Hassan

Year: 2025 Journal: IEEE Transactions on Vehicular Technology Vol: 74 (9)Pages: 14591-14605 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tvt.2025.3563195

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Dual (grammatical number) Resource management (computing) Computer network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.10

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Wireless Body Area Networks

Physical Sciences → Engineering → Biomedical Engineering

DRL-Driven Dual-Stage Resource Optimization Strategy for Efficient Computational Offloading in MEC-Enabled Vehicular Networks

Metrics

Topics

Related Documents

AI-driven Computation Offloading in MEC-enabled Vehicular Networks: A Dual-Stage DRL Framework

Joint Offloading Decision and Resource Allocation in MEC-enabled Vehicular Networks

Joint offloading strategy based on quantum particle swarm optimization for MEC-enabled vehicular networks

Computation Offloading and Resource Allocation in MEC-enabled Vehicular Networks: Partial Offloading Versus Binary Offloading

Optimizing Resource Allocation in MEC-Enabled CR-NOMA-Assisted IoT Networks: A DRL-Driven Strategy