Proactive Caching in Auto Driving Scene via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Proactive Caching in Auto Driving Scene via Deep Reinforcement Learning

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)
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Author:

Zhu Zihui,Zhang Zhengming,Yan Wen,Huang Yongming,Yang Luxi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8914721/8927844/08928131.pdf?arnumber=8928131

Cited by 5 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. TS-based Mobility-aware Multi-hierarchical Caching Model with Vehicle Clustering and Content Popularity Prediction;Journal of Telecommunications and Information Technology;2024-08-29

2. Multiagent Federated Deep-Reinforcement-Learning-Based Collaborative Caching Strategy for Vehicular Edge Networks;IEEE Internet of Things Journal;2024-07-15

3. Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks;Sensors;2023-02-03

4. Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks;IEEE Access;2023

5. Proactive content caching in edge computing environment: A review;Software: Practice and Experience;2021-09-23

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