Low-complexity multiuser receiver for massive hybrid array mmwave communications

Li, H; Wang, TQ; Huang, X; Zhang, JA; Guo, YJ

Low-complexity multiuser receiver for massive hybrid array mmwave communications

Li, H

Wang, TQ

Huang, X

Zhang, JA

Guo, YJ

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2019, 67 (5), pp. 3512 - 3524
Issue Date:: 2019-05-01

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Field	Value	Language
dc.contributor.author	Li, H https://orcid.org/0000-0001-9996-9695	en_US
dc.contributor.author	Wang, TQ https://orcid.org/0000-0002-2326-4549	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.available	2021-05-18T19:01:12Z
dc.date.issued	2019-05-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2019, 67 (5), pp. 3512 - 3524	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136219
dc.description.abstract	© 1972-2012 IEEE. In this paper, we study the low complexity reception of multiuser signals in uplink millimeter wave (mmWave) communications using a partially connected hybrid antenna array. Exploiting the mmWave channel property, we propose a low-complexity user-directed multiuser receiver with three novel schemes for allocating subarrays to users. This receiver only requires the knowledge of angles-of-Arrival (AoAs) for dominating paths and a small amount of equivalent channel information instead of perfect channel state information. For comparison, we also derive a successive interference cancellation-based solution as a performance benchmark. We design two types of reference signals with the channel estimation method to enable efficient and simple estimation for AoA and equivalent baseband channel. Also, we provide analytical results for the performance of the AoA estimation, using the lower bounds of mean square errors in line-of-sight dominated mmWave channels. The simulation results validate that the proposed channel estimation method is effective when employed in combination with a zero-forcing equalizer.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160101693
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2019.2893966	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Low-complexity multiuser receiver for massive hybrid array mmwave communications	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	67	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 1972-2012 IEEE. In this paper, we study the low complexity reception of multiuser signals in uplink millimeter wave (mmWave) communications using a partially connected hybrid antenna array. Exploiting the mmWave channel property, we propose a low-complexity user-directed multiuser receiver with three novel schemes for allocating subarrays to users. This receiver only requires the knowledge of angles-of-Arrival (AoAs) for dominating paths and a small amount of equivalent channel information instead of perfect channel state information. For comparison, we also derive a successive interference cancellation-based solution as a performance benchmark. We design two types of reference signals with the channel estimation method to enable efficient and simple estimation for AoA and equivalent baseband channel. Also, we provide analytical results for the performance of the AoA estimation, using the lower bounds of mean square errors in line-of-sight dominated mmWave channels. The simulation results validate that the proposed channel estimation method is effective when employed in combination with a zero-forcing equalizer.

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http://hdl.handle.net/10453/136219