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Radio and computing resource allocation with energy harvesting devices in mobile edge computing environment

机译:移动边缘计算环境中使用能量收集设备进行无线电和计算资源分配

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摘要

Mobile edge computing (MEC) has been recognized as a promising technique for the Internet of Things (IoT) era which allow the booming mobile devices offload their highly demanding tasks to the MEC server thus release these resource-limited devices from poor computational efficiency. With the development of wireless energy transfer (WET), the combination of wireless devices and energy harvesting technique has attracted much more interests. Energy harvesting enabled devices can be powered by the wireless energy signal to prolong their lifetime. For an MEC system with energy harvesting devices, how to make appropriate computation and communication resources allocation policy is still challenging. In this paper, we proposed a time average computation rate maximization (TACRM) algorithm that allows the joint allocation of radio and computation resources. In each time block, optimal bandwidths, transmit powers, time allocations for local computing and task offloading, and the local CPU frequencies are dynamically decided by the proposed algorithm. Theoretical performance analysis and extensive simulation verified that the proposed algorithm can effectively improve the system performance and outperforms the benchmark schemes.
机译:移动边缘计算(MEC)已被公认为是物联网(IoT)时代的一项有前途的技术,它允许蓬勃发展的移动设备将其高要求的任务卸载到MEC服务器上,从而使这些资源受限的设备摆脱较差的计算效率。随着无线能量传输(WET)的发展,无线设备和能量收集技术的结合吸引了更多的兴趣。启用能量收集的设备可以通过无线能量信号供电,以延长其使用寿命。对于具有能量收集设备的MEC系统,如何制定适当的计算和通信资源分配策略仍然是一个挑战。在本文中,我们提出了一种时间平均计算速率最大化(TACRM)算法,该算法允许联合分配无线电和计算资源。在每个时间块中,最佳带宽,发射功率,用于本地计算和任务分流的时间分配以及本地CPU频率由提出的算法动态确定。理论性能分析和广泛的仿真证明,该算法可以有效提高系统性能,性能优于基准方案。

著录项

  • 来源
    《Computer Communications》 |2019年第9期|193-202|共10页
  • 作者单位

    Southwest Univ Sci & Technol, Robot Technol Used Special Environm Key Lab Sichu, Mianyang 621010, Sichuan, Peoples R China|Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China;

    Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China;

    Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China;

    Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430063, Hubei, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mobile edge computing; Energy harvesting; Radio and computing resource allocation;

    机译:移动边缘计算;能量收集;无线电和计算资源分配;

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