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Energy Efficiency Augmentation in Massive MIMO Systems through Linear Precoding Schemes and Power Consumption Modeling
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2020-09-17 , DOI: 10.1155/2020/8839088
Rao Muhammad Asif 1 , Jehangir Arshad 2 , Mustafa Shakir 1 , Sohail M. Noman 3 , Ateeq Ur Rehman 4, 5
Affiliation  

Massive multiple-input multiple-output or massive MIMO system has great potential for 5th generation (5G) wireless communication systems as it is capable of providing game-changing enhancements in area throughput and energy efficiency (EE). This work proposes a realistic and practically implementable EE model for massive MIMO systems while a general and canonical system model is used for single-cell scenario. Linear processing schemes are used for detection and precoding, i.e., minimum mean squared error (MMSE), zero-forcing (ZF), and maximum ratio transmission (MRT/MRC). Moreover, a power dissipation model is proposed that considers overall power consumption in uplink and downlink communications. The proposed model includes the total power consumed by power amplifier and circuit components at the base station (BS) and single antenna user equipment (UE). An optimal number of BS antennas to serve total UEs and the overall transmitted power are also computed. The simulation results confirm considerable improvements in the gain of area throughput and EE, and it also shows that the optimum area throughput and EE can be realized wherein a larger number of antenna arrays at BS are installed for serving a greater number of UEs.

中文翻译:

通过线性预编码方案和功耗建模提高大规模MIMO系统的能效

大规模的多输入多输出或块状MIMO系统具有巨大的潜力为5新一代(5G)无线通信系统,因为它能够在区域吞吐量和能源效率(EE)方面提供改变游戏规则的增强功能。这项工作为大型MIMO系统提出了一种现实可行的EE模型,而对于单小区方案则使用了通用的规范系统模型。线性处理方案用于检测和预编码,即最小均方误差(MMSE),迫零(ZF)和最大比率传输(MRT / MRC)。此外,提出了一种功耗模型,该模型考虑了上行链路和下行链路通信中的总体功耗。提出的模型包括基站(BS)和单天线用户设备(UE)的功率放大器和电路组件消耗的总功率。还计算了服务于全部UE的最佳数量的BS天线和总发射功率。仿真结果证实了在区域吞吐量和EE的增益上的相当大的改善,并且还示出了可以实现最佳的区域吞吐量和EE,其中在BS处安装大量的天线阵列以服务于更多的UE。
更新日期:2020-09-18
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