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首页> 外文期刊>IEEE transactions on industrial informatics >When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data
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When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data

机译：当深增强学习符合启用5G的车辆网络时：交通大数据的分布式卸载框架

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摘要

The emerging 5G-enabled vehicular networks can satisfy various requirements of vehicles by traffic offloading. However, limited cellular spectrum and energy supplies restrict the development of 5G-enabled applications in vehicular networks. In this article, we construct an intelligent offloading framework for 5G-enabled vehicular networks, by jointly utilizing licensed cellular spectrum and unlicensed channels. A cost minimization problem is formulated by considering the latency constraint of users and is further decomposed into two subproblems due to its complexity. For the first subproblem, a two-sided matching algorithm is proposed to schedule the unlicensed spectrum. Then, a deep-reinforcement-learningbased method is investigated for the second one, where the system state is simplified to realize distributed traffic offloading. Real-world traces of taxies are leveraged to illustrate the effectiveness of our solution.
机译：通过交通卸载，新兴的5G启用的车辆网络可以满足车辆的各种要求。但是，有限的蜂窝频谱和能量供应限制了在车辆网络中启用了5G的应用程序。在本文中，我们通过共同利用许可的蜂窝频谱和未许可通道来构造一个支持5G的车辆网络的智能卸载框架。通过考虑用户的延迟约束来制定成本最小化问题，并且由于其复杂性而进一步分解为两个子问题。对于第一个子问题，提出了一种双面匹配算法来调度未经许可的频谱。然后，对第二个进行深度加强学习的方法，其中简化了系统状态以实现分布式流量卸载。利用现实世界的痕迹以说明我们解决方案的有效性。

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  • 来源
    《IEEE transactions on industrial informatics》 |2020年第2期|1352-1361|共10页
  • 作者

    Ning Zhaolong; Dong Peiran; Wang Xiaojie; Obaidat Mohammad S.; Hu Xiping; Guo Lei; Guo Yi; Huang Jun; Hu Bin; Li Ye;

  • 作者单位

    Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China|Xidian Univ State Key Lab Integrated Serv Networks Xian 710126 Peoples R China|Dalian Univ Technol Sch Software Dalian 116024 Peoples R China|Chongqing Univ Posts & Telecommun Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China;

    Dalian Univ Technol Sch Software Dalian 116024 Peoples R China;

    Dalian Univ Technol Sch Software Dalian 116024 Peoples R China;

    Univ Sharjah Coll Comp & Informat Sharjah 27272 U Arab Emirates|Nazarbayev Univ Astana 010000 Kazakhstan|Univ Jordan King Abdullah II Sch Informat Technol Amman 11180 Jordan|Univ Sci & Technol Beijing Beijing 100083 Peoples R China;

    Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China|Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China;

    Chongqing Univ Posts & Telecommun Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China;

    Jinan Univ Clin Med Coll 2 Guangzhou 510632 Peoples R China;

    Chongqing Univ Posts & Telecommun Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China;

    Lanzhou Univ Sch Informat Sci & Engn Lanzhou 730000 Peoples R China;

    Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Deep reinforcement learning (DRL); distributed offloading; traffic big data; 5G-enabled vehicular networks;

    机译：深度加强学习（DRL）;分布式卸载;流量大数据;支持5G的车辆网络;

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