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Energy Efficiency of Distributed Massive MIMO Systems
He, Chunlong,Yin, Jiajia,He, Yejun,Huang, Min,Zhao, Bo The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.4
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.
Energy Efficiency of Distributed Massive MIMO Systems
Chunlong He,Jiajia Yin,Yejun He,Min Huang,Bo Zhao 한국통신학회 2016 Journal of communications and networks Vol.18 No.4
In this paper, we investigate energy efficiency (EE) of thetraditional co-located and the distributed massive multiple-inputmultiple-output (MIMO) systems. First, we derive an approximateEE expression for both the idealistic and the realistic power consumptionmodels. Then an optimal energy-efficient remote accessunit (RAU) selection algorithm based on the distance between themobile stations (MSs) and the RAUs are developed to maximizethe EE for the downlink distributedmassive MIMO systems underthe realistic power consumption model. Numerical results showthat the EE of the distributedmassiveMIMOsystems is larger thanthe co-locatedmassiveMIMOsystems under both the idealistic andrealistic power consumptionmodels, and the optimal EE can be obtainedby the developed energy-efficient RAU selection algorithm.