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Large-System Analysis of Joint User Selection and Vector Precoding with Zero-Forcing Transmit Beamforming for MIMO Broadcast Channels

机译:基于maTLaB的联合用户选择和矢量预编码的大系统分析   mImO广播信道的迫零发射波束形成

摘要

Multiple-input multiple-output (MIMO) broadcast channels (BCs) (MIMO-BCs)with perfect channel state information (CSI) at the transmitter are considered.As joint user selection (US) and vector precoding (VP) (US-VP) withzero-forcing transmit beamforming (ZF-BF), US and continuous VP (CVP) (US-CVP)and data-dependent US (DD-US) are investigated. The replica method, developedin statistical physics, is used to analyze the energy penalties for the twoUS-VP schemes in the large-system limit, where the number of users, the numberof selected users, and the number of transmit antennas tend to infinity withtheir ratios kept constant. Four observations are obtained in the large-systemlimit: First, the assumptions of replica symmetry (RS) and 1-step replicasymmetry breaking (1RSB) for DD-US can provide acceptable approximations forlow and moderate system loads, respectively. Secondly, DD-US outperforms CVPwith random US in terms of the energy penalty for low-to-moderate system loads.Thirdly, the asymptotic energy penalty of DD-US is indistinguishable from thatof US-CVP for low system loads. Finally, a greedy algorithm of DD-US proposedin authors' previous work can achieve nearly optimal performance forlow-to-moderate system loads.
机译:考虑在发射机处具有完美信道状态信息(CSI)的多输入多输出(MIMO)广播信道(BC)(MIMO-BC)作为联合用户选择(US)和矢量预编码(VP)(US-VP) ),在采用零强制发射波束成形(ZF-BF)的情况下,研究了US和连续VP(CVP)(US-CVP)和数据相关的US(DD-US)。统计物理中开发的复制方法用于分析在大型系统限制下两个US-VP方案的能量损失,其中用户数,选定用户数和发射天线数以其比率趋于无穷大保持不变。在大型系统限制中获得了四个观察结果:首先,DD-US的副本对称性(RS)和一步副本对称性破损(1RSB)的假设可以分别为低和中等系统负载提供可接受的近似值。其次,就中低系统负载而言,DD-US的能量损失优于随机CUS。第三,对于低系统负载,DD-US的渐近能量损失与US-CVP的渐近能量损失没有区别。最后,作者先前工作中提出的DD-US贪婪算法可以为中低系统负载实现近乎最佳的性能。

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