Energy efficiency of distributed massive MIMO systems
Energy efficiency of distributed massive MIMO systems
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DOI：
10.1109/jcn.2016.000088
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发表时间：
2016-09
影响因子：
3.6
通讯作者：
Chunlong He;Jiajia Yin;Yejun He;Min Huang;Bo Zhao
中科院分区：
文献类型：
--
作者：
Chunlong He;Jiajia Yin;Yejun He;Min Huang;Bo Zhao
在本文中，我们研究了传统的协同定位和分布式大规模多输入多输出（MIMO）系统的能量效率（EE）。首先，我们推导出一个近似的EE表达式的理想和现实的功耗模型。在此基础上，提出了一种基于移动的基站与远程接入单元（RAU）之间距离的最优能量有效远程接入单元（RAU）选择算法，以最大化下行分布式大规模MIMO系统的能量效率。数值结果表明，在理想和实际功耗模型下，分布式大规模MIMO系统的能效比均大于共址大规模MIMO系统，并且所提出的节能RAU选择算法能够获得最优能效.
In this paper, we investigate energy efficiency (EE) of the traditional co-located and the distributed massive multiple-input multiple-output (MIMO) systems. First, we derive an approximate EE expression for both the idealistic and the realistic power consumption models. Then an optimal energy-efficient remote access unit (RAU) selection algorithm based on the distance between the mobile stations (MSs) and the RAUs are developed to maximize the EE for the downlink distributed massive MIMO systems under the realistic power consumption model. Numerical results show that the EE of the distributed massive MIMO systems is larger than the co-located massive MIMO systems under both the idealistic and realistic power consumption models, and the optimal EE can be obtained by the developed energy-efficient RAU selection algorithm.