Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning

Intelligent connected vehicles (ICVs) face challenges in handling intensive onboard computational tasks due to limited computing capacity. Vehicular edge computing networks (VECNs) offer a promising solution by enabling ICVs to offload tasks to mobile edge computing (MEC), alleviating computational...

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Bibliografische Detailangaben

Hauptverfasser:	Jiahui Liu, Yuan Zou, Guodong Du, Xudong Zhang, Jinming Wu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-11-01
Schriftenreihe:	Sensors
Schlagworte:	vehicular edge computing networks mobile edge computing task offloading resource allocation deep reinforcement learning
Online-Zugang:	https://www.mdpi.com/1424-8220/25/22/6914
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