计算机应用 ›› 2018, Vol. 38 ›› Issue (12): 3535-3540.DOI: 10.11772/j.issn.1001-9081.2018051171

• 网络与通信 • 上一篇    下一篇

端到端通信中基于时间转换能量采集的计算迁移方案

冬欣松1, 郑建超2, 蔡跃明1, 尹廷辉1, 张潇毅1   

  1. 1. 中国人民解放军陆军工程大学 通信工程学院, 南京 210000;
    2. 国防科技创新研究院 人工智能中心, 北京 100010
  • 收稿日期:2018-06-08 修回日期:2018-07-16 出版日期:2018-12-10 发布日期:2018-12-15
  • 通讯作者: 冬欣松
  • 作者简介:冬欣松(1993-),男,黑龙江哈尔滨人,硕士研究生,主要研究方向:移动云计算、资源分配;郑建超(1987-),男,四川乐山人,助理研究员,博士,主要研究方向:移动云计算、无线资源管理、博弈优化;蔡跃明(1961-),男,福建永泰人,教授,博士,主要研究方向:协同无线网络、无线物理层安全、信号处理;尹廷辉(1973-),男,安徽定远人,副教授,硕士,主要研究方向:移动云计算、信号处理;张潇毅(1983-),男,湖南岳阳人,助教,硕士,主要研究方向:移动云计算、网络资源管理。
  • 基金资助:
    国家博士后创新人才支持计划项目(BX201700109);江苏省青年基金资助项目(BK20170755)。

Computation offloading scheme based on time switch policy for energy harvesting in device-to-device communication

DONG Xinsong1, ZHENG Jianchao2, CAI Yueming1, YIN Tinghui1, ZHANG Xiaoyi1   

  1. 1. College of Communications Engineering, Army Engineering University of PLA, Jiangsu Nanjing 210000, China;
    2. Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing 100010, China
  • Received:2018-06-08 Revised:2018-07-16 Online:2018-12-10 Published:2018-12-15
  • Contact: 冬欣松
  • Supported by:
    This work is partially supported by the National Postdoctoral Program for Innovative Talents of China (BX201700109), the Science Fund for Excellent Young Scholars of Jiangsu Province (BK20170755),

摘要: 在端到端(D2D)通信网络中,为提高移动云计算的有效性,提出了一种基于时间转换能量采集的计算迁移方案。首先,一个流量受限的智能移动终端把其需要迁移的计算任务通过D2D通信以射频信号的形式发送给一个能量受限的智能移动终端,后者利用时间转换方案对接收信号进行能量采集。然后,能量受限终端会为流量受限终端中继任务到云端服务器付出额外的流量消耗。最后,所提的方案被建模为一个最小化终端能量与流量消耗的非凸优化问题,通过优化能量受限终端的时间转换因子、采集能量分配因子以及流量受限终端的传输功率,最终获得了最优方案。仿真结果表明,相比于非协作方案,所提方案通过互惠协作进行计算迁移能有效地减少终端的匮乏资源开销。

关键词: 移动云计算, 计算迁移, 端到端通信, 射频能量采集, 时间转换方案

Abstract: In order to improve the effectiveness of mobile cloud computing in Device-to-Device (D2D) communication network, a computation offloading scheme based on the time switch policy for energy harvesting was proposed. Firstly, the computational tasks needed to be migrated of a traffic-limited smart mobile terminal were sent to an energy-limited smart mobile terminal in the form of Radio-Frequency (RF) signals through D2D communication, and the time switch policy was used by the energy-limited smart mobile terminal for the energy harvesting of received signals. Then, the extra traffic consumption was paid by the energy-limited terminal for the relay tasks of traffic-limited terminal to the cloud server. Finally, the proposed scheme was modeled as a non-convex optimization problem for minimizing terminal energy and traffic consumption, and the optimal scheme was obtained by optimizing the time switch factor and the harvest energy allocation factor of the energy-limited terminal, and the transmission power of the traffic-limited terminal. The simulation results show that, compared with non-cooperative scheme, the proposed scheme can effectively reduce the terminal's limited resource overhead by the computation offloading through reciprocal cooperation.

Key words: mobile cloud computing, computation offloading, Device-to-Device (D2D) communication, Radio-Frequency (RF) energy harvesting, time switch policy

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