The University of Southampton
University of Southampton Institutional Repository

Closed-loop sparse channel estimation for wideband millimeter-wave full-dimensional MIMO systems

Closed-loop sparse channel estimation for wideband millimeter-wave full-dimensional MIMO systems
Closed-loop sparse channel estimation for wideband millimeter-wave full-dimensional MIMO systems
This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplexing based systems, which exploits the channel sparsity in both angle and delay domains. At the downlink CE stage, random transmit precoding matrix is designed at base station (BS) for channel sounding, and receive combining matrices at user devices (UDs) are designed whereby the hybrid array is visualized as a low-dimensional digital array for facilitating the multi-dimensional unitary ESPRIT (MDU-ESPRIT) algorithm to estimate respective angle-of-arrivals (AoAs). At the uplink CE stage, the estimated downlink AoAs, namely, uplink angle-ofdepartures (AoDs), are exploited to design multi-beam transmit precoding matrices at UDs to enable BS to estimate the uplink AoAs, i.e., the downlink AoDs, and delays of different UDs, whereby the MDU-ESPRIT algorithm is used based on the designed receive combining matrix at BS. Furthermore, a maximum likelihood approach is proposed to pair the channel parameters acquired at the two stages, and the path gains are then obtained using least squares estimator. According to spectrum estimation theory, our solution can acquire the super-resolution estimations of the AoAs/AoDs and delays of sparse multipath components with low training overhead. Simulation results verify the better CE performance and lower computational complexity of our solution over state-of-the-art approaches.
0090-6778
8329-8345
Liao, Anwen
83b2105c-a8a3-4ccc-bf9d-22862a756ebb
Gao, Zhen
56e8fb40-3f55-4d5e-ab53-496f8b1b4ad1
Wang, Hua
5ba8b211-385e-4a7f-84f7-83c7974909c5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Alouini, Mohamed-Slim
0c29522e-5cb7-473e-bccb-0288e424977f
Yin, Hao
f184f2a1-2b78-4c03-8b8a-5d7f0e13673d
Liao, Anwen
83b2105c-a8a3-4ccc-bf9d-22862a756ebb
Gao, Zhen
56e8fb40-3f55-4d5e-ab53-496f8b1b4ad1
Wang, Hua
5ba8b211-385e-4a7f-84f7-83c7974909c5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Alouini, Mohamed-Slim
0c29522e-5cb7-473e-bccb-0288e424977f
Yin, Hao
f184f2a1-2b78-4c03-8b8a-5d7f0e13673d

Liao, Anwen, Gao, Zhen, Wang, Hua, Chen, Sheng, Alouini, Mohamed-Slim and Yin, Hao (2019) Closed-loop sparse channel estimation for wideband millimeter-wave full-dimensional MIMO systems. IEEE Transactions on Communications, 67 (12), 8329-8345. (doi:10.1109/TCOMM.2019.2942911).

Record type: Article

Abstract

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplexing based systems, which exploits the channel sparsity in both angle and delay domains. At the downlink CE stage, random transmit precoding matrix is designed at base station (BS) for channel sounding, and receive combining matrices at user devices (UDs) are designed whereby the hybrid array is visualized as a low-dimensional digital array for facilitating the multi-dimensional unitary ESPRIT (MDU-ESPRIT) algorithm to estimate respective angle-of-arrivals (AoAs). At the uplink CE stage, the estimated downlink AoAs, namely, uplink angle-ofdepartures (AoDs), are exploited to design multi-beam transmit precoding matrices at UDs to enable BS to estimate the uplink AoAs, i.e., the downlink AoDs, and delays of different UDs, whereby the MDU-ESPRIT algorithm is used based on the designed receive combining matrix at BS. Furthermore, a maximum likelihood approach is proposed to pair the channel parameters acquired at the two stages, and the path gains are then obtained using least squares estimator. According to spectrum estimation theory, our solution can acquire the super-resolution estimations of the AoAs/AoDs and delays of sparse multipath components with low training overhead. Simulation results verify the better CE performance and lower computational complexity of our solution over state-of-the-art approaches.

Text
TcomFinal190916 - Accepted Manuscript
Download (5MB)
Text
TCOM2019-Dec - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 12 September 2019
e-pub ahead of print date: 23 September 2019
Published date: 17 December 2019

Identifiers

Local EPrints ID: 436748
URI: http://eprints.soton.ac.uk/id/eprint/436748
ISSN: 0090-6778
PURE UUID: 119d9a03-1334-498d-9e84-fad908c93208

Catalogue record

Date deposited: 03 Jan 2020 17:30
Last modified: 06 Oct 2020 17:51

Export record

Altmetrics

Contributors

Author: Anwen Liao
Author: Zhen Gao
Author: Hua Wang
Author: Sheng Chen
Author: Mohamed-Slim Alouini
Author: Hao Yin

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×