Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks-Reference-Cited by-同舟云学术

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Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks

Published:2024-02-19 Issue: Volume: Page:337-342
ISSN:
Container-title:2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Ullah Ihsan¹,Lim Hyun-Kyo²,Seok Yeong-Jun³,Ul Islam Naeem⁴,Ji Chang-Hun⁵,Han Youn-Hee⁵

Affiliation:

1. Advanced Technology Research Center, KOREA TECH,Cheonan,South Korea

2. Quantum Network Research Center, KISTI,Daejeon,South Korea

3. Computer Science and Engineering, KOREA TECH,Cheonan,South Korea

4. Computer Science and Engineering, Yuan Ze University,Taoyuan,Taiwan

5. Future Convergence Engineering, KOREA TECH,Cheonan,South Korea

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463492.pdf?arnumber=10463492

Reference15 articles.

1. A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated With Vehicle-to-Everything Communications by Internet of Vehicles

2. Edge Computing for Internet of Everything: A Survey

3. Efficient Multi-Vehicle Task Offloading for Mobile Edge Computing in 6G Networks

4. Vehicular Task Offloading and Job Scheduling Method Based on Cloud-Edge Computing

5. Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution

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