Massive MIMO系统中最大化能量效率研究

大规模MIMO（多输入多输出）技术可以通过增加基站天线数目来提高频谱效率和能量效率,作为未来移动通信物理层的关键技术。通过在小区中部署适宜的用户数目K、最佳的基站天线数目M以及发送功率来最大化能量效率,使用ZF（迫零）对上行链路和下行链路进行处理,并通过一个典型的MIMO功率消耗模型来揭示上述所提及的参数对能量效率的影响。仿真结果表明,随着基站天线数目的增加,增大发送功率不仅能够使系统服务更多的终端数,而且有助于提升整体的能量效率。...

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Bibliographic Details
Published in电子技术应用 Vol. 43; no. 8; pp. 105 - 109
Main Author 吴君钦 彭斌
Format Journal Article
LanguageChinese
Published 江西理工大学信息工程学院,江西赣州,341000 2017
Subjects
ZF
功率模型
大规模MIMO
能量效率
zero-forcing
大规模MIMO
能量效率
Massive MIMO
energy efficiency
ZF
power model
功率模型
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ISSN0258-7998
DOI10.16157/j.issn.0258-7998.166229

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Summary:大规模MIMO（多输入多输出）技术可以通过增加基站天线数目来提高频谱效率和能量效率,作为未来移动通信物理层的关键技术。通过在小区中部署适宜的用户数目K、最佳的基站天线数目M以及发送功率来最大化能量效率,使用ZF（迫零）对上行链路和下行链路进行处理,并通过一个典型的MIMO功率消耗模型来揭示上述所提及的参数对能量效率的影响。仿真结果表明,随着基站天线数目的增加,增大发送功率不仅能够使系统服务更多的终端数,而且有助于提升整体的能量效率。
Bibliography:Massive MIMO,is known as large-scale antenna system which is the key technology in future mobile communication physical layer,and brings huge improvements in spectral efficiency and energy efficiency by using a large excess of antennas of base station（BS）. This paper maximizes the energy efficiency by deploying the appropriate number of users K, the optimal base station antenna number M and the transmit power in the cell. It considers jointly the uplink and downlink with zero-forcing （ZF） process- ing schemes at the base station and with a typical MIMO power consumption model that reveal how the above parameters affects the energy efficiency. The simulation result shows that the transmit power increase with the number of antennas can not only enable the system to serve more users but help to improve the energy efficiency.
Wu Junqing,Peng Bin （School of Information Engineering ,Jiangxi University of Science and Technology, Ganzhou 341000, China）
11-2305/TN
Massive MIMO ; zero-forcing ; energy efficiency ; power m
ISSN:0258-7998
DOI:10.16157/j.issn.0258-7998.166229