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Multiuser Massive MIMO Performance with Calibration Errors
2016-07-01
会议录名称IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (IF:8.9[JCR-2023],8.6[5-Year])
ISSN1536-1276
卷号15
期号7
页码4521-4534
DOI10.1109/TWC.2016.2542135
摘要Massive multiple-input multiple-output (MIMO) in time-division duplexing (TDD) systems relies on the channel reciprocity to obtain the downlink (DL) channel state information (CSI) with the uplink (UL) CSI. But in practice, the transmit branch is composed of different radio frequency (RF) circuits from the receive branch, which breaks the end-to-end DL/UL channel reciprocity. Antenna array calibration is thus necessary to restore this reciprocity. However, in the context of massive MIMO, most existing results are obtained assuming ideal calibration. In this paper, we first analyze the signal-to-interference-plus-noise ratio (SINR) performance and the system capacity in the case of nonideal antenna array calibration and spatial correlation among transmit antennas. Then, we derive the calibration requirements for different beamforming schemes to limit the performance degradation within dB. Furthermore, we verify the accuracy of our analytical results with extensive numerical simulations. This work can be utilized to guide the designs of TDD massive MIMO communication systems. © 2016 IEEE.
关键词Time division multiplexing Signal interference Beamforming Calibration Communication channels (information theory) Signal to noise ratio MIMO systems Beam forming networks Antenna array calibrations Antenna calibration MIMO communication system Performance degradation Radio frequency circuit Signal to interference plus noise ratio TDD Reciprocity Time division duplexing
收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc., United States
EI入藏号20163002640941
EI主题词Channel state information
EISSN1558-2248
EI分类号711.2 Electromagnetic Waves in Relation to Various Structures ; 716 Telecommunication ; Radar, Radio and Television ; 716.1 Information Theory and Signal Processing
原始文献类型Conference article (CA)
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/251790
专题信息科学与技术学院_PI研究组_罗喜良组
作者单位
School of Information Science and Technology, ShanghaiTech University, Shanghai; 200031, China
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
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GB/T 7714
Luo, Xiliang. Multiuser Massive MIMO Performance with Calibration Errors[C]:Institute of Electrical and Electronics Engineers Inc., United States,2016:4521-4534.
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