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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Qingli Liu, Yongjie Ma
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-08-01
Sarja:	Scientific Reports
Aiheet:	Vehicular networks Resource allocation Deep reinforcement learning Asynchronous federated learning
Linkit:	https://doi.org/10.1038/s41598-025-15982-x
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