Double Codebook Beamforming Technique in Massive MIMO

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• 作者：Dan Wang ; Li Zeng ; Yong Liao
• 刊名：Wireless Personal Communications
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：88
• 期：4
• 页码：855-870
• 全文大小：664 KB
• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Processor Architectures
  
• 出版者：Springer Netherlands
• ISSN：1572-834X
• 卷排序：88

文摘

In order to adapt double codebook beamforming technique in massive MIMO system, double codebook estimation algorithms based on the extended double codebook are proposed in this paper, such as one-dimensional (1D) estimation inherited MIMO, independent two-dimensional (2D) estimation and ESPRIT-like estimation. 1D estimation traverses the candidates based on the cross combination of two directions. Independent 2D estimation traverses the candidates based on two directions separately.  ESPRIT-like estimation is based on rotational invariance principle of antenna array, which imposes significantly lower computational complexity than the former two algorithms. Advanced, its complexity does not increase with the number of candidates. Finally, the complexity and system performance with three algorithms are compared and analyzed. The results show that 1D estimation gains the best performance, but it is too complex and difficult for practical implementation. ESPRIT-like estimation is more practical due to its reduced complexity and comparable performance with the independent 2D estimation algorithm, especially with small number of candidates.KeywordsDouble codebook beamformingMassive MIMOCodebook estimationTwo-dimensional DOA estimation