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Gram–Schmidt orthogonalisation aided hybrid precoding in millimetre-wave massive MIMO systems

机译:毫米波大规模MIMO系统中的Gram–Schmidt正交化辅助混合预编码

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The authors introduce a novel hybrid precoding algorithm based on Gram-Schmidt orthogonalisation (GSO) in millimetre-wave massive MIMO systems. Specifically, the columns of array response matrix orthogonalised by the GSO process are considered as a set of candidate analogue precoders, then traditional orthogonal matching pursuit (OMP) is utilised to find the optimal analogue and digital precoders. Since GSO is a recursive process that depends on the order in which the matrix columns are selected. A heuristic solution to the order of columns selection is suggested according to the array response vector along which the fully-digital precoder has the maximum projection. The proposed algorithm, not only constrained to uniform linear arrays, can avoid the matrix inversion in designing the digital precoder compared to OMP. Simulation results show that the spectral efficiency and bit error rate of the proposed hybrid precoding solutions are close to that obtained with fully digital architectures. Furthermore, the results indicate that the proposed hybrid precoding solutions outperform the orthogonality-based matching pursuit, which uses the columns of the DFT matrix as a set of candidate analogue precoders.
机译:作者介绍了一种在毫米波大规模MIMO系统中基于Gram-Schmidt正交化(GSO)的新颖混合预编码算法。具体来说,将通过GSO处理正交化的阵列响应矩阵列视为一组候选模拟预编码器,然后利用传统的正交匹配追踪(OMP)来找到最佳的模拟预编码器和数字预编码器。由于GSO是一个递归过程,它取决于矩阵列的选择顺序。根据全数字预编码器沿其具有最大投影的阵列响应向量,提出了一种针对列选择顺序的启发式解决方案。与OMP相比,该算法不仅限于均匀的线性阵列,而且在设计数字预编码器时可以避免矩阵求逆。仿真结果表明,所提出的混合预编码解决方案的频谱效率和误码率均接近于全数字架构。此外,结果表明,提出的混合预编码解决方案优于基于正交性的匹配追踪,后者使用DFT矩阵的列作为一组候选模拟预编码器。

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