Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey

Authors

Xinheng Wang (ORCID: https://orcid.org/0000-0001-8771-8901)
Changle Li (ORCID: https://orcid.org/0000-0003-2568-8908)
Anwer Al‐Dulaimi (ORCID: https://orcid.org/0000-0001-9936-0038)
Pablo Casaseca‐de‐la‐Higuera (ORCID: https://orcid.org/0000-0003-1565-0842)
I Chih‐Lin (ORCID: https://orcid.org/0000-0002-6817-4352)
Muddesar Iqbal (ORCID: https://orcid.org/0000-0002-8438-6726)
Peisong Li (ORCID: https://orcid.org/0000-0001-6697-4041)

Institutions

Universidad de Valladolid (ES)
Prince Sultan University (SA)
Xidian University (CN)
China Mobile (China) (CN)
Xi’an Jiaotong-Liverpool University (CN)
Zayed University (AE)

Publication Details

Journal: IEEE Transactions on Intelligent Transportation Systems
Published: 2025-09-18
DOI: https://doi.org/10.1109/tits.2025.3607910
Citations: 7
Primary Topic: Transportation and Mobility Innovations
Type: article
Field-Weighted Citation Impact: 4.78

Funders

National Natural Science Foundation of China
Prince Sultan University

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article

Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey

Xinheng Wang, Changle Li, Anwer Al‐Dulaimi, Pablo Casaseca‐de‐la‐Higuera et al.

Sep 18, 2025

7 citations

IEEE Transactions on Intelligent Transportation Systems

Transportation and Mobility Innovations

4.78

article

Deep Reinforcement Learning-Based Task Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey

Xinheng Wang, Changle Li, Anwer Al‐Dulaimi, Pablo Casaseca‐de‐la‐Higuera, I Chih‐Lin, Muddesar Iqbal, Peisong Li

September 18, 2025article en

7 citations

Abstract

No abstract available for this paper.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(12)

Universidad de Valladolid (ES), Prince Sultan University (SA), Xidian University (CN), China Mobile (China) (CN), Xi’an Jiaotong-Liverpool University (CN), Zayed University (AE)

National Natural Science Foundation of China, Prince Sultan University

Openalex Percentile: Top 5%

Transportation and Mobility Innovations

4.78

DOI Open Access PDF OpenAlex

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