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基于无人机无线能量传输的边缘计算系统能耗优化方法研究

卢为党 詹悦者 花俏枝 高原 曹江 韩会梅 黄国兴

卢为党, 詹悦者, 花俏枝, 高原, 曹江, 韩会梅, 黄国兴. 基于无人机无线能量传输的边缘计算系统能耗优化方法研究[J]. 电子与信息学报, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314
引用本文: 卢为党, 詹悦者, 花俏枝, 高原, 曹江, 韩会梅, 黄国兴. 基于无人机无线能量传输的边缘计算系统能耗优化方法研究[J]. 电子与信息学报, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314
LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, GAO Yuan, CAO Jiang, HAN Huimei, HUANG Guoxing. Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314
Citation: LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, GAO Yuan, CAO Jiang, HAN Huimei, HUANG Guoxing. Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314

基于无人机无线能量传输的边缘计算系统能耗优化方法研究

doi: 10.11999/JEIT211314
基金项目: 国家自然科学基金(61871348),湖北省自然科学基金(2021CFB156),广东省空天通信与网络技术重点实验室开放课题(2018B030322004)
详细信息
    作者简介:

    卢为党:男,1984年生,教授,研究方向为无人机通信、移动边缘计算

    詹悦者:男,1996年生,硕士生,研究方向为无人机通信、移动边缘计算

    花俏枝:男,1989年生,讲师,研究方向为移动边缘计算、车联网

    高原:男,1986年生,副研究员,研究方向为无人机通信

    曹江:男,1960年生,研究员,研究方向为指挥信息系统理论

    韩会梅:女,1990年生,讲师,研究方向为大规模接入

    黄国兴:男,1986年生,副教授,研究方向为无人机通信、通信雷达一体化

    通讯作者:

    花俏枝 11722@hbuas.edu.cn

  • 中图分类号: TN92

Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System

Funds: The National Natural Science Foundation of China (61871348), The Hubei Natural Science Foundation (2021CFB156), The Research Fund Program of Guangdong Key Laboratory of Aerospace Communication and Networking Technology (2018B030322004)
  • 摘要: 无线能量传输(WPT)和移动边缘计算(MEC)可以为无线设备提供能量供应和任务计算,有效提高设备的能量效率。该文提出一种基于无人机无线能量传输的边缘计算系统能耗优化方法,在所提方法中,通过联合优化能量收集(EH)时间、用户发射功率和卸载决策,最小化系统总能耗。利用块坐标下降法(BCD),将优化问题分解为两个子问题,通过交替优化来获得最优能量收集时间、用户发射功率和卸载决策。仿真结果表明,该文提出的系统能耗优化方法优于其他基准方案,并且系统所需能量可以显著减少。
  • 图  1  系统模型

    图  2  时分结构

    图  3  系统总能耗随计算任务数据量变化

    图  4  系统总能耗随用户数量变化

    图  5  能量收集时间随用户数量变化

    图  6  能量收集时间随计算任务数据量变化

    表  1  优化过程

     输出:联合优化卸载决策$ {\alpha _i} $、能量收集时间τ
     (1) 初始化卸载策略$ {\alpha ^0}\left( 0 \right) = \left[ {0,0, \cdots ,0} \right] $,u=0
     (2) 通过CVX求解(P1.1) 得$ \tau \left( {{\alpha ^u}\left( 0 \right)} \right) $
     (3) 求$ {E_{{T_i}}}\left( {{\alpha ^u}\left( 0 \right)} \right) $
     (4) for$j = 1,2, \cdots ,L$do
     (5) A[m]= $ {\alpha ^u}\left( j \right) $, m = m+1
     (6) 通过CVX求解(P1.1)得$ \tau \left( {{\alpha ^u}\left( j \right)} \right) $
     (7) 求$ {E_{{T_i}}}\left( {{\alpha ^u}\left( j \right)} \right) $
     (8) 利用式(24)计算价值函数,并储存在价值函组
       $r = \left[ {r_1^u,r_2^u, \cdots ,r_L^u} \right]$中
     (9) End for
     (10) if $ {r_{\max }}{\text{ = }}\max (r) > 0 $
     (11) $ j = \arg \max (r) $
     (12) 更新$ {\alpha ^{u + 1}}\left( 0 \right){\text{ = }}{\alpha ^u}\left( j \right) $
     (13) 更新u=u+1
     (14) 回到步骤(2)
     (15) else
     (16) 得到最优结果$ a* = {a^u}\left( 0 \right) $,$ \tau *{\text{ = }}\tau \left( {{\alpha ^u}\left( 0 \right)} \right) $
     (17) End if
     (18) 通过CVX求解(P1.1) 得$ \tau \left( {{\alpha ^u}\left( 0 \right)} \right) $
     (19) 求$ {E_{{T_i}}}\left( {{\alpha ^u}\left( 0 \right)} \right) $
     (20) for $ z = 2,3, \cdots ,L $ do
     (21) 利用式(23)更新${j_1},{j_2}, \cdots ,{j_z}$
     (22) if ${\alpha ^u}\left( { {j_1},{j_2}, \cdots ,{j_z} } \right) \in$ A
     (23) 回到步骤(19)
     (24) else
     (25) 进行步骤(5)—步骤(8)
     (26) end if
     (27) end for
     (28) if $ {r_{\max }}{\text{ = }}\max (r) > 0 $
     (29) $ \left( {{j_1},{j_2}, \cdots ,{j_z}} \right) = \arg \max (r) $
     (30) 更新$ {\alpha ^{u + 1}}\left( 0 \right){\text{ = }}{\alpha ^u}\left( {{j_1},{j_2}, \cdots ,{j_z}} \right) $
     (31) 更新u=u+1
     (32) 回到步骤(18)
     (33) else
     (34) 得到最优结果$ a* = {a^u}\left( 0 \right) $,$ \tau *{\text{ = }}\tau \left( {{\alpha ^u}\left( 0 \right)} \right) $
     (35) End if
    下载: 导出CSV

    表  2  仿真参数设置

    参数含义数值(单位)
    H无人机悬停高度100 m
    T时隙长度1 s
    Ci用户Ui需要处理的计算任务的数据量80~120 kB
    K处理1bit数据量需要的CPU转数100
    $ {\xi _i} $有效电容系数10–27
    $ \eta $路径损耗因子2
    $ {\sigma ^2} $干扰噪声功率–110 dBm
    $ {g_i} $单位信道增益–60 dB
    $ {\upsilon _i} $能量转换效率0.51
    P无人机发射功率3 W
    B带宽2 MHz
    $ f_i^{\max } $用户最大CPU频率1 GHz
    下载: 导出CSV
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  • 收稿日期:  2021-11-23
  • 修回日期:  2022-02-15
  • 录用日期:  2022-02-16
  • 网络出版日期:  2022-03-01
  • 刊出日期:  2022-03-28

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