数据采集与处理
數據採集與處理
수거채집여처리
JOURNAL OF DATA ACQUISITION & PROCESSING
2015年
3期
496-503
,共8页
束锋%李隽%顾晨%王进%周叶%徐彦青%钱玉文
束鋒%李雋%顧晨%王進%週葉%徐彥青%錢玉文
속봉%리준%고신%왕진%주협%서언청%전옥문
大规模多天线系统%匹配滤波%信干噪比%概率密度函数
大規模多天線繫統%匹配濾波%信榦譟比%概率密度函數
대규모다천선계통%필배려파%신간조비%개솔밀도함수
massive MIMO%matched filter%signal-to-interference-and-noise ratio%probability density function
大规模M IM O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M F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。
大規模M IM O繫統中,相對于其他基于信道矩陣分解的波束成形算法,如迫零、最小均方誤差算法等,匹配濾波(Matched filter ,MF)具有複雜度極低的優點,從而成為一種極具實用潛力的波束成形算法。鑒于此,本文推導瞭基站採用M F波束成形算法時,用戶耑信榦譟比(Signal‐to‐interference‐and‐noise ratio ,SINR)的近似概率密度函數(Probability density function ,PDF)。該函數對于推導與分析繫統性能,如和速率、中斷概率等至關重要。倣真錶明:噹基站天線數趨于大規模時,SINR公式的PDF麯線趨近于通過純倣真得到的PDF麯線。
대규모M IM O계통중,상대우기타기우신도구진분해적파속성형산법,여박령、최소균방오차산법등,필배려파(Matched filter ,MF)구유복잡도겁저적우점,종이성위일충겁구실용잠력적파속성형산법。감우차,본문추도료기참채용M F파속성형산법시,용호단신간조비(Signal‐to‐interference‐and‐noise ratio ,SINR)적근사개솔밀도함수(Probability density function ,PDF)。해함수대우추도여분석계통성능,여화속솔、중단개솔등지관중요。방진표명:당기참천선수추우대규모시,SINR공식적PDF곡선추근우통과순방진득도적PDF곡선。
In massive MIMO systems ,the matched filter (MF) beamformer is an attractive technique due to its extremely low complexity compared with the high‐complexity decomposition‐based beamforming techniques ,such as zero forcing and minimum mean square error .An approximate formula is derived for probability density function (PDF) of the signal‐to‐interference‐and‐noise ratio (SINR) at user terminal when multiple antennas and the MF beamformer are used at the base station .The formula is important in calculating or analyzing system performance such as sum‐rate and outage probability .Simulations exhibit that the difference between the derived approximate formula for PDF and the simulated PDF approaches zero while the number of antennas at the base station tends to large‐scale .