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分布式天线系统中基于天线选择的能量效率优化

汪乔瑜 崔海霞

汪乔瑜, 崔海霞. 分布式天线系统中基于天线选择的能量效率优化[J]. 华南师范大学学报(自然科学版), 2020, 52(6): 121-127. doi: 10.6054/j.jscnun.2020103
引用本文: 汪乔瑜, 崔海霞. 分布式天线系统中基于天线选择的能量效率优化[J]. 华南师范大学学报(自然科学版), 2020, 52(6): 121-127. doi: 10.6054/j.jscnun.2020103
WANG Qiaoyu, CUI Haixia. Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(6): 121-127. doi: 10.6054/j.jscnun.2020103
Citation: WANG Qiaoyu, CUI Haixia. Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(6): 121-127. doi: 10.6054/j.jscnun.2020103

分布式天线系统中基于天线选择的能量效率优化

doi: 10.6054/j.jscnun.2020103
基金项目: 

国家自然科学基金项目 61871433

国家自然科学基金项目 61828103

国家自然科学基金项目 61201255

广东省自然科学基金项目 2018A0303130141

广州市科技计划项目 201707010490

详细信息
    通讯作者:

    崔海霞,教授,Email:cuihaixia@m.scnu.edu.cn

  • 中图分类号: TN929.5

Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems

  • 摘要: 为了进一步解决无线通信系统的能量消耗问题, 以分布式天线系统单小区为模型,提出了一种将天线选择和功率分配技术相结合的最大能量效率优化算法(max-ANPO-EE算法):通过选取用户一定距离范围内的天线后,利用拉格朗日函数和次梯度得到各个天线的最优发送功率,从而推导出相应的能量效率性能表达式,得到最优的能量效率.仿真结果表明:在用户和天线随机分布的单蜂窝小区网络内,max-ANPO-EE算法能获得比较好的性能.
  • 图  1  单蜂窝小区的分布式天线系统的网络结构

    Figure  1.  The network structure of a distributed antenna system in a single-cell housing estate

    图  2  不同用户数的系统的能量效率(L=10)

    Figure  2.  The energy efficiency of the system with different users(L=10)

    图  3  不同天线数的系统的能量效率(K=3)

    Figure  3.  The energy efficiency of the system with different antenna numbers(K=3)

    图  4  不同电路功率损耗和功放效率下的系统的能量效率(K=3,L=10)

    Figure  4.  The energy efficiency of the system under different circuit power loss and amplifier efficiency(K=3, L=10)

    图  5  4个算法在不同功率上限时的系统的能量效率对比(K=3,L=10)

    Figure  5.  The comparison of energy efficiency of the system among four algorithms under different maximal transmit powers(K=3, L=10)

    图  6  3个算法在距离不同时的系统的能量效率对比(K=3,L=10)

    Figure  6.  The comparison of energy efficiency of the system among three algorithms at different distances(K=3, L=10)

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出版历程
  • 收稿日期:  2020-01-07
  • 刊出日期:  2020-12-25

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