Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles-Reference-Cited by-同舟云学术

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Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles

Published:2023-12 Issue:12 Volume:24 Page:15948-15958
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Xing¹,Qian Cheng²^ORCID,Yu Wei²^ORCID,Griffith David³,Gopstein Avi³,Golmie Nada³^ORCID

Affiliation:

1. Department of Computer Science, Sam Houston State University, Huntsville, TX, USA

2. Department of Computer and Information Science, Towson University, Towson, MD, USA

3. Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10339106/10239251.pdf?arnumber=10239251

Reference24 articles.

1. Internet of Vehicle (IoV) Applications in Expediting the Implementation of Smart Highway of Autonomous Vehicle: A Survey

2. IEEE 802.11p: Towards an international standard for wireless access in vehicular environments;jiang;Proc IEEE Veh Technol Conf,2008

3. A Performance Measurement and Analysis Method for Software-Defined Networking of IoV

4. Integrated Simulation Platform for Internet of Vehicles

5. On Demand Fog Federations for Horizontal Federated Learning in IoV

Cited by 1 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. Digital Twin based Internet of Vehicles;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

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