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Comparison of Zero-Forcing Beamforming and Zero-Forcing Dirty-Paper Coding
In Single-Cell MultiuserMIMO System
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多用户MIMO_OFDM系统中基于迫零波束成型的自适应资源分配算法-System based on multi-user MIMO_OFDM zero forcing beamforming algorithm for adaptive resource allocation
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协作多点传输（CoMP）技术中联合处理（Joint Processing, CoMP-JP）和协同波束赋形（Coordinated Beamforming, CoMP-CB）两方案中的迫零（Zero-forcing）预编码的基本原理和实现，并进行了仿真分析-Coordinated multipoint transmission (CoMP) technology combined treatment (Joint Processing, CoMP-JP) and collaborative be
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协作多点传输（CoMP）技术中联合处理（Joint Processing, CoMP-JP）和协同波束赋形（Coordinated Beamforming, CoMP-CB）两方案中的迫零（Zero-forcing）预编码的基本原理和实现，并进行了仿真分析。此为异构网-Coordinated multipoint transmission (CoMP) technology combined treatment (Joint Processing, CoMP-JP) and collaborat
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zero-forcing beamforming with semi-orthogonal user selection
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This is the file for zero-forcing beamforming in MIMO. The file also include SUS algorithm.
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实现二阶混合预编码,基于低维数字迫零预编码，在瑞利信道下应用该系统(This enable the two stage hybrid beamforming of massive MIMO which based on the digital zero-forcing (ZF) precoding and the proposed scheme is simulated in the ideal Rayleigh channel.)
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简单的MIMO模拟
假定QPSK，ML解码（SM ZF检测器除外）。
mrc.m - 最大比例组合
stc.m - 具有1和2个接收天线的Alamouti空时分组码
bf.m - 特征波束形成
sm.m - 空间复用2x2（ML解码和次优逼迫）
简单的OFDM仿真
模拟保护带，用于信道估计的循环前缀前导码符号(Simple MIMO simulations
Assumes QPSK, ML decoding (except SM ZF detector).
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