Compressed channel feedback based on spatial-frequency correlation for Massive MIMO-OFDM systems

被引：0

作者：

Li, Xiao-Hui ^{[1
]}

Wang, Wei-Meng ^{[1
]}

Hei, Yong-Qiang ^{[1
]}

机构：

[1] State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2014年 / 36卷 / 05期

关键词：

Frequency domain analysis - Gain control - Orthogonal frequency division multiplexing;

D O I：

10.3724/SP.J.1146.2013.01048

中图分类号：

学科分类号：

摘要：

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.

引用

页码：1178 / 1183