Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting

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

doi:10.3969/j.issn.0372-2112.2017.09.036

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Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting

更新时间：2025-07-16

- Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting
- Acta Electronica Sinica Vol. 45, Issue 9, Pages: 2308-2312(2017)
- 作者机构：
  
  重庆邮电大学下一代网络研究所,重庆,400065
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.11502039);Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJ1600424);Doctoral Research Foundation of Chongqing University of Posts and Telecommunications (No.A2015-41);Funded by Youth Science Foundation of Chongqing University of Posts and Telecommunications (No.A2015-62)
- DOI：10.3969/j.issn.0372-2112.2017.09.036
  CLC： TN929.53
- Published Online：25 September 2017，
  
  Published：2017
- 稿件说明：
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WAN Xiao-yu, FENG Xiao-long, WANG Zheng-qiang, et al. Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting[J]. Acta Electronica Sinica, 2017, 45(9): 2308-2312.
DOI：

WAN Xiao-yu, FENG Xiao-long, WANG Zheng-qiang, et al. Power Allocation Algorithm for Heterogeneous Cellular Networks Based on Energy Harvesting[J]. Acta Electronica Sinica, 2017, 45(9): 2308-2312. DOI： 10.3969/j.issn.0372-2112.2017.09.036.

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.

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.

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