JOURNAL ARTICLE

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

Shufeng LiBaoxin SuLibiao JinMingyu CaiHongda Wu

Year: 2019 Journal:   EURASIP Journal on Wireless Communications and Networking Vol: 2019 (1)   Publisher: Springer Nature

Abstract

Abstract 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.

Keywords:
Precoding MIMO Computer science Measure (data warehouse) Channel (broadcasting) Extremely high frequency Algorithm Gaussian Path loss Spatial multiplexing Matrix (chemical analysis) Wireless Electronic engineering Telecommunications Physics Data mining Engineering

Metrics

7
Cited By
0.57
FWCI (Field Weighted Citation Impact)
21
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Antenna Design and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.