[1]陆彦辉,苗盼盼,杨守义.大规模MIMO系统中功率分配算法的能效研究[J].郑州大学学报(工学版),2017,38(04):65-68.[doi:10.13705/j.issn.1671-6833.2017.01.022]
　Lu Yanhui,Miao Panpan,Yang Shouyi.Optimal Energy Efficiency Power Allocation Alogrithm for Massive MIMO Systems[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):65-68.[doi:10.13705/j.issn.1671-6833.2017.01.022]
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大规模MIMO系统中功率分配算法的能效研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
38卷
期数:
2017年04期
页码:
65-68
栏目:
出版日期:
2017-07-18

文章信息/Info

Title:
Optimal Energy Efficiency Power Allocation Alogrithm for Massive MIMO Systems
作者:
陆彦辉; 苗盼盼; 杨守义
郑州大学信息工程学院,河南郑州,450001
Author(s):
Lu Yanhui;  Miao Panpan;  Yang Shouyi
School of Information Engineering, Zhengzhou University, Zhengzhou, Henan 450001
关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2017.01.022
文献标志码:
A
摘要:
为了提高大规模MIMO下行链路系统的能效,基站分配给用户的功率不再是平均分配,通过对能效函数的分析,得到能效函数是关于用户功率的拟凹函数,进而提出了一种功率分配算法.因为大规模MIMO的基站天线数比较多,射频链的损耗不可忽略.所以建立了同时考虑基站分配给用户的功率和电路功率的新的系统功耗模型,并在该模型的基础上,分析用户分配的功率对系统总功耗及能效的影响.通过分析能效函数关于用户功率的拟凹特性,提出了一种迭代的功率分配算法.最后将所提的功率分配算法的能效与用户平均分配功率时的能效进行比较.仿真结果表明,所提算法能有效地提高系统的能效.
Abstract:
In order to improve the energy efficiency of massive multi-input multi-output(MU-MIMO) downlink systems,the power among users was not allocated equally.The pseudo-concavity of the energy efficiency function with respect to the power of the user allocation was derived through the analysis of energy efficiency function.An optimal power allocation alogrirhm was proposed.Because of the large number of base station antenna in MIMO,the power consumption of radio frequency chain could not be ignored.Thus a new power assumption model was put forward,while both the power of the user allocation and circuit power consumption were considered.Based on this model,the influence of the power of the user allocation on the total power consumption as well as energy efficiency was analysed.By exploiting the pseudo-concavity of the energy efficiency function with respect to the power of the user allocation,an optimal energy-efficiency power allocation algorithm was proposed.Finally,a detailed energy efficiency performance comparison was made between the proposed power allocation algorithm and the power allocation.The simulation results showed that the proposed algorithm could effectively improve the energy efficiency of the MIMO systems.
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