北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (5): 15-20.doi: 10.13190/j.jbupt.2019-249

• 论文 • 上一篇    下一篇

移动边缘计算中基于能量收集的能效优化方案

薛建彬, 刘星星, 丁雪乾   

  1. 兰州理工大学 计算机与通信学院, 兰州 730050
  • 收稿日期:2019-12-03 发布日期:2021-03-11
  • 作者简介:薛建彬(1973-),男,教授,博士生导师,E-mail:xue_jabn@hotmail.com.
  • 基金资助:
    国家自然科学基金项目(61841107,61461026)

Energy Efficiency Optimization Scheme Based on Energy Harvesting in Mobile Edge Computing

XUE Jian-bin, LIU Xing-xing, DING Xue-qian   

  1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2019-12-03 Published:2021-03-11

摘要: 移动边缘计算(MEC)系统中密集的计算任务卸载使得资源受限的终端设备能量效率低,能量服务单一,对此,提出了一种基于能量收集的系统能效优化方案.该方案首先在满足卸载发送功率限制等约束条件下,分析了能量收集状态及用户功率分配,建立了最大化系统能效的联合优化模型;其次,利用广义分数规划理论将卸载能效转化为标准凸优化问题,并通过构建拉格朗日函数对目标函数进行迭代优化,获得最优的能量指示变量和功率分配.仿真结果表明,所提方案可以有效提升MEC系统中的用户能量效率,同时保证了用户服务质量,实现了绿色通信.

关键词: 移动边缘计算, 能量收集, 计算卸载, 能效, 凸优化

Abstract: Aiming at low energy efficiency and single energy service of resource-constrained terminal devices caused by intensive computing tasks offloading in mobile edge computing (MEC), a system energy efficiency optimization scheme based on energy harvesting is proposed. Firstly, the energy harvesting status and power allocation of users are analyzed under the constraints of offloading transmission power and so on, and a joint optimization model is established to maximize system energy efficiency. Secondly, the offloading energy efficiency is transformed into standard convex optimization by the generalized fractional programming theory, and the objective function is iteratively optimized by setting the Lagrange function to obtain the optimal energy indicator variable and power allocation. Simulations show that the proposed scheme can effectively improve the energy efficiency of users in MEC system, and guarantee the quality of service (QoS) of users, achieve the green communication simultaneously.

Key words: mobile edge computing, energy harvesting, computation offloading, energy efficiency, convex optimization

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