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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:用于MIMO广播信道的联合用户选择和矢量预编码的零迫发射波束成形的大系统分析

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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) with zero-forcing transmit beamforming (ZF-BF), US and continuous VP (CVP) (US-CVP) and data-dependent US (DD-US) are investigated. The replica method, developed in statistical physics, is used to analyze the energy penalties for the two US-VP schemes in the large-system limit, where the number of users, the number of selected users, and the number of transmit antennas tend to infinity with their ratios kept constant. Four observations are obtained in the large-system limit: First, the assumptions of replica symmetry (RS) and 1-step replica symmetry breaking (1RSB) for DD-US can provide acceptable approximations for low and moderate system loads, respectively. Secondly, DD-US outperforms CVP with 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 that of US-CVP for low system loads. Finally, a greedy algorithm of DD-US proposed in authors' previous work can achieve nearly optimal performance for low-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)。作为具有零强制发射波束成形(ZF-BF)的联合用户选择(US)和矢量预编码(VP)(US-VP),US和连续VP(CVP)(US-CVP)以及数据相关的US(DD-美国)进行了调查。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种US-VP方案的能量损失,其中用户数量,选定用户数量和发射天线数量倾向于它们的比率保持无穷大。在大系统范围内获得了四个观察结果:第一,DD-US的副本对称性(RS)和一步副本对称性破坏(1RSB)的假设分别可以为低和中等系统负载提供可接受的近似值。其次,就中低系统负载的能耗而言,DD-US在随机US方面优于CVP。第三,对于低系统负载,DD-US的渐近能量损失与US-CVP的能量损失没有区别。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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