Deep Reinforcement Learning-Empowered Resource Allocation for Mobile Edge Computing in Cellular V2X Networks

With the rapid development of vehicular networks, vehicle-to-everything (V2X) communications have huge number of tasks to be calculated, which brings challenges to the scarce network resources. Cloud servers can alleviate the terrible situation regarding the lack of computing abilities of vehicular...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Dongji Li, Shaoyi Xu, Pengyu Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-01-01
Schriftenreihe:	Sensors
Schlagworte:	mobile edge computing vehicle-to-everything deep reinforcement learning double deep q network
Online-Zugang:	https://www.mdpi.com/1424-8220/21/2/372
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