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Ensemble Properties of RVQ-Based Limited-Feedback Beamforming Codebooks

机译:基于RVQ的有限反馈波束形成码本的集合性质

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摘要

The ensemble properties of Random Vector Quantization (RVQ) codebooks forlimited-feedback beamforming in multi-input multi-output (MIMO) systems arestudied with the metrics of interest being the received SNR loss and mutualinformation loss, both relative to a perfect channel state information (CSI)benchmark. The simplest case of unskewed codebooks is studied in the correlatedMIMO setting and these loss metrics are computed as a function of the number ofbits of feedback ($B$), transmit antenna dimension ($N_t$), and spatialcorrelation. In particular, it is established that: i) the loss metrics are aproduct of two components -- a quantization component and a channel-dependentcomponent; ii) the quantization component, which is also common to analysis ofchannels with independent and identically distributed (i.i.d.) fading, decaysas $B$ increases at the rate $2^{-B/(N_t-1)}$; iii) the channel-dependentcomponent reflects the condition number of the channel. Further, the preciseconnection between the received SNR loss and the squared singular values of thechannel is shown to be a Schur-convex majorization relationship. Finally, theensemble properties of skewed codebooks that are generated by skewing RVQcodebooks with an appropriately designed fixed skewing matrix are studied.Based on an estimate of the loss expression for skewed codebooks, it isestablished that the optimal skewing matrix is critically dependent on thecondition numbers of the effective channel (product of the true channel and theskewing matrix) and the skewing matrix.
机译:研究了针对多输入多输出(MIMO)系统中有限反馈波束形成的随机矢量量化(RVQ)码本的合奏特性,关注的指标是相对于理想信道状态信息的接收SNR损耗和互信息损耗( CSI)基准。未校正码本的最简单情况是在相关MIMO设置中进行研究的,并且根据反馈位数($ B $),发射天线尺寸($ N_t $)和空间相关性来计算这些损耗度量。特别地,可以确定:i)损耗度量是两个分量的产物-量化分量和信道相关分量; ii)量化分量在分析具有独立且相同分布(i.d.)衰落的信道时也很常见,随着$ B $以$ 2 ^ {-B /(N_t-1)} $的速率增加而衰减; iii)通道相关组件反映了通道的条件编号。此外,所接收的SNR损耗与信道的平方奇异值之间的精确连接被示出为舒尔凸主化关系。最后,研究了通过适当设计固定的偏斜矩阵来偏斜RVQ码本所产生的偏斜码本的整体性质。在对偏斜码本的损失表达进行估计的基础上,建立了最佳偏斜矩阵关键取决于其条件数。有效通道(真实通道和倾斜矩阵的乘积)和倾斜矩阵。

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