Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels

Zhen Gao; Chen Hu; Linglong Dai; Zhaocheng Wang

doi:10.1109/LCOMM.2016.2555299

Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels

Zhen Gao
, Chen Hu
, Linglong Dai^*
, Zhaocheng Wang

^*Corresponding author for this work

Tsinghua University
Department of Electronic Engineering

Research output: Contribution to journal › Article › peer-review

348 Citations (Scopus)

Abstract

This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.

Original language	English
Article number	7454701
Pages (from-to)	1259-1262
Number of pages	4
Journal	IEEE Communications Letters
Volume	20
Issue number	6
DOIs	https://doi.org/10.1109/LCOMM.2016.2555299
Publication status	Published - Jun 2016
Externally published	Yes

Keywords

Millimeter-wave massive MIMO
channel estimation
compressive sensing
frequencyselective fading

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10.1109/LCOMM.2016.2555299

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title = "Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels",

abstract = "This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.",

keywords = "Millimeter-wave massive MIMO, channel estimation, compressive sensing, frequencyselective fading",

author = "Zhen Gao and Chen Hu and Linglong Dai and Zhaocheng Wang",

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year = "2016",

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AU - Gao, Zhen

AU - Hu, Chen

AU - Dai, Linglong

AU - Wang, Zhaocheng

PY - 2016/6

Y1 - 2016/6

N2 - This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.

AB - This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.

KW - Millimeter-wave massive MIMO

KW - channel estimation

KW - compressive sensing

KW - frequencyselective fading

UR - https://www.scopus.com/pages/publications/84976475406

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DO - 10.1109/LCOMM.2016.2555299

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JF - IEEE Communications Letters

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ER -

Channel Estimation for Millimeter-Wave Massive MIMO with Hybrid Precoding over Frequency-Selective Fading Channels

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Keywords

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