| 基于MF预编码的大规模MIMO网络SINR概率密度分析 |
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| 引用本文： | 束锋,李隽,顾晨,王进,周叶,徐彦青,钱玉文. 基于MF预编码的大规模MIMO网络SINR概率密度分析[J]. 数据采集与处理, 2015, 30(3): 496-503 |
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| 作者姓名： | 束锋 李隽 顾晨 王进 周叶 徐彦青 钱玉文 |
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| 作者单位： | 南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院；南京理工大学电子工程与光电技术学院 |
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| 摘 要： | 大规模MIMO系统中，相对于其他基于信道矩阵分解的波束成形算法，如迫零、最小均方误差算法等，匹配滤波（Matched filter, MF）具有复杂度极低的优点，从而成为一种极具实用潜力的波束成形算法。鉴于此，本文推导了基站采用MF波束成形算法时，用户端信干噪比（Signal-to-interference-and-noise ratio, SINR）的近似概率密度函数（Probability density function, PDF）。该函数对于推导与分析系统性能，如和速率、中断概率等至关重要。仿真表明：当基站天线数趋于大规模时，SINR公式的PDF曲线趋近于通过纯仿真得到的PDF曲线。
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| 关 键 词： | 大规模多天线系统；匹配滤波；信干噪比；概率密度函数 |
Probability Density Analysis of SINR in Massive MIMO Downlink Using Matched Filter Beamformer |
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| Shu Feng,Li Jun,Gu Chen,Wang Jin,Zhou Ye,Xu Yanqing,Qian Yuwen. Probability Density Analysis of SINR in Massive MIMO Downlink Using Matched Filter Beamformer[J]. Journal of Data Acquisition & Processing, 2015, 30(3): 496-503 |
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| Authors: | Shu Feng Li Jun Gu Chen Wang Jin Zhou Ye Xu Yanqing Qian Yuwen |
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| Affiliation: | School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology;School of Electronic and Optical Engineering, Nanjing University of Science and Technology |
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| Abstract: | |
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| Keywords: | massive MIMO matched filter signal-to-interference-and-noise ratio probability density function |
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