电讯技术Issue(9):1270-1274,5.DOI:10.3969/j.issn.1001-893x.2014.09.018
基于天线选择技术的大规模下行MU-MIMO系统能效分析
Energy Efficiency Analysis of Very Large Scale MU-MIMO Downlink Systems with Transmitting Antenna Selection
摘要
Abstract
In order to improve the energy efficiency of the large scale multiuser multi-input multi-output (MU-MIMO) downlink system,energy efficiency optimization based on transmitting antenna selection is proposed in this paper. A new power consumption model is established,which considers not only the trans-mitting power but also the circuit power consumption. Based on this model,the effects of the number of transmitting antennas at the base station and the number of users at the receiver on the total power con-sumption as well as the energy efficiency are discussed respectively,and a detailed energy efficiency per-formance comparison is also made between the proposed antenna selection and the one using all of the transmitting antennas. Mathematical analysis and numerical simulations reveal that there exists an optimal number of selected antennas to maximize the energy efficiency,and the proposed antenna selection scheme in large scale MU-MIMO system can improve the energy efficiency significantly. Especially, when the number of users is 10,and the transmitting power is 40 W and 10 W,compared with that using all of the given transmitting antennas,the proposed antenna selection scheme achieves nearly 12% and 78% gain in energy efficiency,respectively.关键词
大规模MIMO系统/多用户MIMO系统/发送天线选择/迫零预编码/能效Key words
large scale MIMO system/MU-MIMO system/transmitting antenna selection/zero forcing precoding/energy efficiency分类
信息技术与安全科学引用本文复制引用
李洁,李双志,穆晓敏,张建康..基于天线选择技术的大规模下行MU-MIMO系统能效分析[J].电讯技术,2014,(9):1270-1274,5.基金项目
国家自然科学基金资助项目(61271421) (61271421)
国家自然科学基金青年科学基金资助项目(61301150) (61301150)
高等学校博士点专项科研基金(新教师类)(20134101120001)Foundation Item:The National Natural Science Foundation of China(No.61271421) (新教师类)
The Young Scientists Fund of the National Natural Sci-ence Foundation of China(No.61301150) (No.61301150)
The Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20134101120001) (No.20134101120001)