电子学报 ›› 2017, Vol. 45 ›› Issue (9): 2308-2312.DOI: 10.3969/j.issn.0372-2112.2017.09.036

• 科研通信 • 上一篇    下一篇

基于能量采集异构蜂窝网络的功率分配算法研究

万晓榆, 冯小龙, 王正强, 樊自甫   

  1. 重庆邮电大学下一代网络研究所, 重庆 400065
  • 收稿日期:2016-07-11 修回日期:2016-12-20 出版日期:2017-09-25 发布日期:2017-09-25
  • 通讯作者: 王正强
  • 作者简介:万晓榆,男,1963年生于四川成都.现为重庆邮电大学教授、博士、硕士生导师.主要研究方向为下一代网络技术、通信组织与运营管理.E-mail:wanxy@cqupt.edu.cn;冯小龙,男,1991年生于贵州遵义.现为重庆邮电大学通信与信息工程学院硕士研究生.主要研究方向为通信网能效优化.E-mail:fengxlcqupt@163.com;樊自甫,男,1977年生于安徽省舒城县.现为重庆邮电大学经济管理学院副教授.主要研究方向为下一代网络技术和管理决策.E-mail:fanzf@cqupt.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(No.11502039);重庆市教委科学技术研究项目(No.KJ1600424);重庆邮电大学博士科研启动基金资助项目(No.A2015-41);重庆邮电大学青年科学基金资助项目(No.A2015-62)

Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting

WAN Xiao-yu, FENG Xiao-long, WANG Zheng-qiang, FAN Zi-fu   

  1. Institute of Next Generation Network, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-07-11 Revised:2016-12-20 Online:2017-09-25 Published:2017-09-25

摘要: 针对能量采集异构蜂窝网络,由于能量到达和信道状态的随机性导致离线功率分配算法只能取得理论最优,本文提出了一种在线功率分配算法.算法在每个时隙开始时,基站控制器通过能量判别选出满足开启条件的小蜂窝基站,然后采用基于拉格朗日乘子的两层迭代算法对所选择的小蜂窝基站分配发射功率,能够实际最大化系统在每个时隙的能效.仿真表明在满足基站开启条件的情况下,所提算法可以为密集异构网络提供更高的能量效率.该算法适用于信道状态和能量状态不可预测的网络.

关键词: 能效优化, 能量采集, 功率分配, 电池容量, 在线算法, 异构网络

Abstract: For heterogeneous cellular network based on energy harvesting,due to randomness of the energy and channel state,the applicability of the offline power allocation algorithm can only obtain the theoretical optimal value,therefore,an online power allocation algorithm is proposed.Base station controller uses energy checking algorithm to choose the small base station,which satisfies the activation condition at the beginning of each time slot for the proposed algorithm.Then,a two layer iterative (TLI) algorithm based on the Lagrange multiplier method is proposed to maximize the system energy efficiency of the chosen small base stations practically in each time slot.Simulation results show that the proposed algorithm can provide high energy efficiency for dense heterogeneous networks when the activation condition of the small base station is satisfied.The proposed algorithm is suitable for the network with unpredictability of the channel state information and energy state information.

Key words: energy efficiency optimization, energy harvesting, power allocation, battery capacity, online algorithm, heterogeneous network

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