基于主成分分析的MIMO-WCDMA空间复用网络传输策略

P. Gkonis, D. Kaklamani, I. Venieris, C. Dervos, M. Chrysomallis
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引用次数: 2

摘要

本文提出的研究目标是研究基于主成分分析(PCA)的MIMO-WCDMA网络在空间复用传输模式下的性能。在这种情况下,所有单独的多径分量首先由空时RAKE接收器处理,然后对接收到的数据矩阵使用PCA。将最大特征值和相应的特征向量反馈给发射机,发射机给出修正后的相关矩阵。使用该矩阵是为了确定在制定传输矩阵时要考虑的重要项。结果表明,对于4×2 MIMO方向(即四个发射天线和两个接收天线)和六个可解析多径组件,所提出的策略的部署可以减少传输矩阵计算收敛所需的平均重复次数,最多可减少10%。
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A new transmission strategy for MIMO-WCDMA spatial multiplexing networks based on principal component analysis
The goal of the study presented in this paper is to investigate the performance of a new transmission strategy for MIMO-WCDMA networks operating in spatial multiplexing transmission mode, based on Principal Component Analysis (PCA) at the reception. In this context, all individual multipath components are first processed by a space - time RAKE receiver, and then PCA is employed on the received data matrix. The maximum eigenvalue along with the corresponding eigenvector are fed back to the transmitter, who formulates a modified correlation matrix. This matrix is used in order to determine the significant terms that are taken into account during transmission matrix formulation. As results indicate, for a 4×2 MIMO orientation (i.e. four transmit and two receive antennas) and six resolvable multipath components, the deployment of the proposed strategy can reduce up to 10% the mean number of repeats that are required for convergence of the transmission matrix calculation.
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