JOURNAL ARTICLE

Energy efficiency of distributed massive MIMO systems

Chunlong HeJiajia YinYejun HeMao Lin HuangBo Zhao

Year: 2016 Journal:   Journal of Communications and Networks Vol: 18 (4)Pages: 649-657   Publisher: Institute of Electrical and Electronics Engineers

Abstract

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.

Keywords:
MIMO Computer science Telecommunications link Energy consumption Efficient energy use Selection (genetic algorithm) Power consumption Power (physics) Multi-user MIMO Mathematical optimization Telecommunications Mathematics Electrical engineering Physics Engineering

Metrics

12
Cited By
1.28
FWCI (Field Weighted Citation Impact)
36
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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