Delay-Aware Content Delivery With Deep Reinforcement Learning in Internet of Vehicles-Reference-Cited by-同舟云学术

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Delay-Aware Content Delivery With Deep Reinforcement Learning in Internet of Vehicles

Published:2021 Issue: Volume: Page:1-12
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Nan Zhaojun^ORCID,Jia Yunjian^ORCID,Ren Zhi^ORCID,Chen Zhengchuan^ORCID,Liang Liang^ORCID

Funder

National Natural Science Foundation of China

Chongqing Key Laboratory of Mobile Communications Technology

Natural Science Foundation of Chongqing China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09457111.pdf?arnumber=9457111

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cost-aware task offloading in vehicular edge computing: A Stackelberg game approach;Vehicular Communications;2024-10

2. Markov Clustering-Based Content Placement in Roadside-Unit Caching With Deadline Constraint;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. Reinforcement Learning Minimizes Payment Costs in Internet of Vehicles Caching;2024 IEEE 10th International Conference on Edge Computing and Scalable Cloud (EdgeCom);2024-06-28

4. Edge collaborative caching solution based on improved NSGA II algorithm in Internet of Vehicles;Computer Networks;2024-05

5. Reliability-Aware Proactive Offloading in Mobile Edge Computing Using Stackelberg Game Approach;IEEE Internet of Things Journal;2024-05-01

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