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Estimation of broadband multiuser millimeter-wave massive MIMO-OFDM channels by exploiting their sparse structure

Estimation of broadband multiuser millimeter-wave massive MIMO-OFDM channels by exploiting their sparse structure
Estimation of broadband multiuser millimeter-wave massive MIMO-OFDM channels by exploiting their sparse structure
In millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, acquiring accurate channel state information is essential for efficient beamforming (BF) and multiuser interference cancellation, which is a challenging task since a low signal-to-noise ratio is encountered before BF in large antenna arrays. The mmWave channel exhibits a 3-D clustered structure in the virtual angle of arrival (AOA), angle of departure (AOD) and delay domain that is imposed by the effect of power leakage, angular spread and cluster duration. We extend the approximate message passing (AMP) with nearest neighbor pattern learning algorithm for improving the attainable channel estimation performance, which adaptively learns and exploits the clustered structure in the 3-D virtual AOA-AOD-delay domain. The proposed method is capable of approaching the performance bound described by the state evolution based on vector AMP framework, and our simulation results verify its superiority in mmWave systems associated with a broad bandwidth.
1536-1276
Lin, Xingcong
78a6f6a0-32a8-40de-a0fa-29f8d7316ee3
Wu, Sheng
aeb3f610-d00f-4c44-a418-abc97afc9e65
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Kuang, Lingling
3da08ed7-3d91-4bd3-8b24-91699e3bbd7b
Yan, Jian
c886a796-3a8f-4c5f-803b-f4f96bf36637
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Lin, Xingcong
78a6f6a0-32a8-40de-a0fa-29f8d7316ee3
Wu, Sheng
aeb3f610-d00f-4c44-a418-abc97afc9e65
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Kuang, Lingling
3da08ed7-3d91-4bd3-8b24-91699e3bbd7b
Yan, Jian
c886a796-3a8f-4c5f-803b-f4f96bf36637
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Lin, Xingcong, Wu, Sheng, Jiang, Chunxiao, Kuang, Lingling, Yan, Jian and Hanzo, Lajos (2018) Estimation of broadband multiuser millimeter-wave massive MIMO-OFDM channels by exploiting their sparse structure. IEEE Transactions on Wireless Communications. (doi:10.1109/TWC.2018.2818142).

Record type: Article

Abstract

In millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, acquiring accurate channel state information is essential for efficient beamforming (BF) and multiuser interference cancellation, which is a challenging task since a low signal-to-noise ratio is encountered before BF in large antenna arrays. The mmWave channel exhibits a 3-D clustered structure in the virtual angle of arrival (AOA), angle of departure (AOD) and delay domain that is imposed by the effect of power leakage, angular spread and cluster duration. We extend the approximate message passing (AMP) with nearest neighbor pattern learning algorithm for improving the attainable channel estimation performance, which adaptively learns and exploits the clustered structure in the 3-D virtual AOA-AOD-delay domain. The proposed method is capable of approaching the performance bound described by the state evolution based on vector AMP framework, and our simulation results verify its superiority in mmWave systems associated with a broad bandwidth.

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Accepted/In Press date: 9 March 2018
e-pub ahead of print date: 29 March 2018

Identifiers

Local EPrints ID: 419207
URI: http://eprints.soton.ac.uk/id/eprint/419207
ISSN: 1536-1276
PURE UUID: 5ca7fbb7-517f-4291-a12d-a1c7d7030a3d
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 09 Apr 2018 16:30
Last modified: 07 Oct 2020 01:33

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