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

Chao Pan; Zhao Wang; Zhenyu Zhou; Xincheng Ren

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

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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 vehicular fog servers(VFSs).However,the optimization of task offloading in highly dynamic collaborative vehicular networks faces several challenges such as URLLC guaranteeing,incomplete information,and dimensionality curse.In this paper,we first characterize URLLC in terms of queuing delay bound violation and high-order statistics of excess backlogs.Then,a Deep Reinforcement lEarning-based URLLCAware task offloading algorithM named DREAM is proposed to maximize the throughput of the UVs while satisfying the URLLC constraints in a besteffort way.Compared with existing task offloading algorithms,DREAM achieves superior performance in throughput,queuing delay,and URLLC.

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《中國(guó)通信：英文版》 |2021年第7期|134-146|共13頁(yè)
作者
Chao Pan; Zhao Wang; Zhenyu Zhou; Xincheng Ren;
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作者單位

Hebei Key Laboratory of Power Internet of Things Technology;

North China Electric Power University;

Beijing;

102206;

Baoding;

071003;

Hebei;

China;

Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data;

Yanan University;

Yanan 716000;

China;

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中圖分類 TN9;
關(guān)鍵詞
collaborative vehicular networks; task of-floading; URLLC awareness; deep Q-learning;

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專利

1. Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing [J] . Liang Huang1 ,Xu Feng1 ,Cheng Zhang1 . 數(shù)字化用戶：數(shù)字通訊 . 2019,第001期
2. Mobility-Aware Partial Computation Offloading in Vehicular Networks: A Deep Reinforcement Learning Based Scheme [J] . Jianfei Wang ,Tiejun Lv ,Pingmu Huang . 中國(guó)通信 . 2020,第010期
3. Reinforcement Learning-Based Joint Task Offloading and Migration Schemes Optimization in Mobility-Aware MEC Network [J] . Dongyu Wang ,Xinqiao Tian ,Haoran Cui . 中國(guó)通信 . 2020,第008期
4. Deep Reinforcement Learning-Based Computation Offloading for 5G Vehicle-Aware Multi-Access Edge Computing Network [J] . Ziying Wu ,Danfeng Yan . 中國(guó)通信 . 2021,第011期
5. Grid Task Scheduling based on Constraint Satisfaction Neural Network [C] . Guo Quan ,Wang Xi-Cheng . 第8屆全國(guó)并行計(jì)算大會(huì) . 2004
6. Energy Efficient Task Offloading and Scheduling in Mobile Cloud Networks [A] . Abdullah . 2020

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

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