In this paper, a low-complexity linear precoding algorithm based on the principal component analysis technique in combination\nwith the conventional linear precoders, called Principal Component Analysis Linear Precoder (PCA-LP), is proposed for massive\nMIMO systems. The proposed precoder consists of two components: the first one minimizes the interferences among neighboring\nusers and the second one improves the system performance by utilizing the Principal Component Analysis (PCA) technique.\nNumerical and simulation results show that the proposed precoder has remarkably lower computational complexity than its lowcomplexity\nlattice reduction-aided regularized block diagonalization using zero forcing precoding (LC-RBD-LR-ZF) and lower\ncomputational complexity than the PCA-aided Minimum Mean Square Error combination with Block Diagonalization (PCAMMSE-\nBD) counterparts while its bit error rate (BER) performance is comparable to those of the LC-RBD-LR-ZF and PCAMMSE-\nBD ones.
Loading....