Joint Computation Offloading and Resource Allocation for Edge-Cloud Collaboration in Internet of Vehicles via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Joint Computation Offloading and Resource Allocation for Edge-Cloud Collaboration in Internet of Vehicles via Deep Reinforcement Learning

Published:2023-06 Issue:2 Volume:17 Page:2500-2511
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Huang Jiwei¹^ORCID,Wan Jiangyuan¹^ORCID,Lv Bofeng¹^ORCID,Ye Qiang²^ORCID,Chen Ying³^ORCID

Affiliation:

1. Beijing Key Laboratory of Petroleum Data Mining, China University of Petroleum, Beijing, China

2. Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada

3. Computer School, Beijing Information Science and Technology University, Beijing, China

Funder

Beijing Nova Program

National Natural Science Foundation of China

Project of Cultivation for young top-motch Talents of Beijing Municipal Institutions

R&D Program of Beijing Municipal Education Commission

Young Elite Scientists Sponsorship Program by BAST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10146391/10067234.pdf?arnumber=10067234

Reference36 articles.

1. Addressing function approximation error in actor–critic methods;fujimoto;Proc Int Conf Mach Learn,0

2. Deep Reinforcement Learning-Based Adaptive Computation Offloading for MEC in Heterogeneous Vehicular Networks

3. Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

4. Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing

5. AoI-aware energy control and computation offloading for industrial IoT

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