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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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Principais autores: Jiahui Liu, Yuan Zou, Guodong Du, Xudong Zhang, Jinming Wu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Sensors
Fag:
vehicular edge computing networks
mobile edge computing
task offloading
resource allocation
deep reinforcement learning
Online adgang:https://www.mdpi.com/1424-8220/25/22/6914
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