Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks

Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks

Autonomous driving and intelligent transportation demand ultra-low latency and high reliability communication in future vehicular networks. Proactive wireless communication can facilitate minimal latency by open-loop communication, which discards traditional feedback control mechanisms. However, app...

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Bibliographic Details
Main Authors: Xinyuan Wang, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, Wei Ni
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Proactive network
resource allocation
ultra-low latency
deep reinforcement learning
vehicular networks
6G
Online Access:https://ieeexplore.ieee.org/document/9760396/

Internet

https://ieeexplore.ieee.org/document/9760396/

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