Deep Reinforcement Learning-based Edge Caching and Multi-link Cooperative Communication in Internet-of-Vehicles
Author:
Affiliation:
1. Beijing Information Science & Technology University,School of Automation,Beijing,China
2. Beijing Information Science & Technology University,School of Computer,Beijing,China
Funder
National Natural Science Foundation of China
Beijing Municipal Education Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751460/9751461/09751565.pdf?arnumber=9751565
Reference16 articles.
1. Deep Reinforcement Learning Based Dynamic Content Placement and Bandwidth Allocation in Internet of Vehicles
2. Mobile Edge Computing for the Internet of Vehicles: Offloading Framework and Job Scheduling
3. Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing
4. Edge Caching in Multi-UAV-Enabled Radio Access Networks: 3D Modeling and Spectral Efficiency Optimization
5. Optimizing Retention-Aware Caching in Vehicular Networks
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1. Cooperative caching strategy based mobile vehicle social‐aware in internet of vehicles;Transactions on Emerging Telecommunications Technologies;2023-05-17
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