Deep Reinforcement Learning-Based URLLC-Aware Task Offloading in Collaborative Vehicular Networks

来源 :中国通信:英文版 | 被引量 : 0次 | 上传用户：yuantian723

【摘要】

：

Collaborative vehicular networks is a key enabler to meet the stringent ultra-reliable and lowlatency communications(URLLC)requirements.A user vehicle(UV)dynamically optimizes task offloading by exploiting its collaborations with edge servers and vehicula

【作者】

：

Chao Pan Zhao Wang Zhenyu Zhou Xincheng Ren

【机构】

：

HebeiKeyLaboratoryofPowerInternetofThingsTechnology,ShaanxiKeyLaboratoryofIntelligentProcessingforBi

【出处】

：

中国通信:英文版

【发表日期】

：

2021年7期

【关键词】

：

collaborative vehicular networks task of-floading URLLC awareness deep Q-learnin

【基金项目】

：

This work was partially supported by the Open Funding of the Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data under Grant Number IPBED3,supported by the National Natural Science Fo

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Deep Reinforcement Learning-Based URLLC-Aware Task Offloading in Collaborative Vehicular Networks

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