Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning

Abstract In highly dynamic vehicular networking scenarios, when Vehicle-to-Infrastructure links and Vehicle-to-Vehicle links share spectrum resources, the traditional distributed resource allocation method lacks global optimization and fails to respond to environmental changes in a timely manner, wh...

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Bibliographic Details
Main Authors: Qingli Liu, Yongjie Ma
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-15982-x
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