Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach

Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach

In this paper, a two-timescale radio access network (RAN) slicing and computing task offloading problem is investigated for a cloud-enabled autonomous vehicular network (C-AVN). We aim at jointly maximizing the communication and computing resource utilization with diverse quality-of-service (QoS) gu...

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Detalles Bibliográficos
Autores principales: Qiang Ye, Weisen Shi, Kaige Qu, Hongli He, Weihua Zhuang, Xuemin Shen
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Autonomous vehicular networks
computing task offloading
RAN slicing
resource sharing
task scheduling
cooperative multi-agent deep <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Q</italic>-learning
Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
Acceso en línea:https://doaj.org/article/bd1691e880df4f74b0820bacb4926341
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https://doaj.org/article/bd1691e880df4f74b0820bacb4926341

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