Abstract：In Massive MIMO-OFDM systems, the channel shows strong correlations in both spatial and frequency domain. Aiming at the problem that only spatial or frequency domain correlation is considered in most of the existing compressed feedback algorithms, a joint spatial-frequency compression algorithm is proposed. First, a two dimensional sparsity of channel in spatial-frequency domain is analyzed according to the compressed sensing theory. Then, a joint sparse matrix of channel is derived. Based on the joint sparse matrix, the joint spatial-frequency compression algorithm is presented. Simulation results and analysis show that, the proposed algorithm can significantly reduce the feedback load with acceptable accuracy.
李晓辉, 王维猛, 黑永强. 基于空频相关性的大规模MIMO-OFDM信道压缩反馈算法[J]. 电子与信息学报, 2014, 36(5): 1178-1183.
Li Xiao-Hui, Wang Wei-Meng, Hei Yong-Qiang. Compressed Channel Feedback Based on Spatial-frequency Correlation for Massive MIMO-OFDM Systems. , 2014, 36(5): 1178-1183.
2014, Vol. 36 
