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首页> 外文期刊>Communications, IEEE Transactions on >A Multi-User MIMO Downlink Receiver and Quantizer Design Based on SINR Optimization
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A Multi-User MIMO Downlink Receiver and Quantizer Design Based on SINR Optimization

机译：基于SINR优化的多用户MIMO下行链路接收器和量化器设计

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摘要

In a quantization based multiuser multiple-input/multiple-output (MU-MIMO) broadcast channel, the effective channel gain (i.e., the norm of a channel vector obtained from the receive combiner) needs to be considered in addition to a reduction of quantization errors for maximizing the signal-to-interference plus noise ratio (SINR). In this work, we prove that the effective channel gains in the space limited by an N_R x M_T MIMO channel form a min(M_T,N_R)-dimensional ellipsoid in the channel space. Utilizing the geometric proof, the achievable effective channel gain is derived as a function of its direction for a given MIMO channel. Based on the derivation, we finally propose a quantization vector selection criterion and an optimal receive combiner to maximize the SINR. The proposed maximum SINR based combining (MSC) is proven to be a better solution for maximizing the SINR compared to quantization based combining (QBC) and maximum gain based combining (MGC), each of which attempts to minimize quantization errors and maximize the effective channel gain.
机译：在基于量化的多用户多输入/多输出（MU-MIMO）广播信道中，除了减少量化之外，还需要考虑有效信道增益（即，从接收组合器获得的信道矢量的范数）用于最大程度提高信号干扰加噪声比（SINR）的误差。在这项工作中，我们证明了由N_R x M_T MIMO信道限制的空间中的有效信道增益在信道空间中形成了最小（M_T，N_R）维椭球。利用几何证明，对于给定的MIMO信道，根据其方向得出可实现的有效信道增益。基于此推导，我们最终提出了一个量化矢量选择准则和一个最佳接收组合器，以使SINR最大化。与基于量化的合并（QBC）和基于最大增益的合并（MGC）相比，建议的基于最大SINR的合并（MSC）被证明是使SINR最大化的更好的解决方案，它们中的每一个都试图最小化量化误差并最大化有效信道。获得。

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