Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding

被引：0
作者：
Shufeng Li
Baoxin Su
Libiao Jin
Mingyu Cai
Hongda Wu
机构：
[1] Communication University of China,School of Information and Communication Engineering
[2] York University,Department of Electrical Engineering and Computer Science
来源：
EURASIP Journal on Wireless Communications and Networking | / 2019卷
关键词：
Measurement matrix; Channel estimation; Hybrid precoding millimeter-wave; Massive MIMO;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technology for future 5G wireless communications. Channel estimation for the millimeter-wave (mmWave) MIMO systems with hybrid precoding can be performed by estimating the path directions of the channel and corresponding path gains. This paper considers joint measure matrix and channel estimation for a massive MIMO system. By exploiting the sparsity of a massive MIMO system, a channel estimation scheme based on a Toeplitz-structured measure matrix and complete complementary sequence (CC-S) is proposed. Moreover, analytic studies show that the measurement matrix based on CC-S yields either optimal performance or feasibility in practice than an independent identically distributed Gaussian matrix. The performance of the scheme is shown with numerical examples.
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