Linear Minimum Error Probability Detection for Massive MU-MIMO with Imperfect CSI in URLLC

Zeng, J; Lv, T; Liu, RP; Su, X; Beaulieu, NC; Guo, YJ

Linear Minimum Error Probability Detection for Massive MU-MIMO with Imperfect CSI in URLLC

Zeng, J Lv, T Liu, RP

Su, X Beaulieu, NC Guo, YJ

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2019, 68 (11), pp. 11384 - 11388
Issue Date:: 2019-11-01

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Field	Value	Language
dc.contributor.author	Zeng, J	en_US
dc.contributor.author	Lv, T	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Su, X	en_US
dc.contributor.author	Beaulieu, NC	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.accessioned	2020-04-15T04:20:41Z
dc.date.available	2020-04-15T04:20:41Z
dc.date.issued	2019-11-01	en_US
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2019, 68 (11), pp. 11384 - 11388	en_US
dc.identifier.issn	0018-9545	en_US
dc.identifier.uri	http://hdl.handle.net/10453/140000
dc.description.abstract	© 1967-2012 IEEE. It is challenging to realize ultra-reliable and low latency communications (URLLC) under severe shadow fading and imperfect channel state information (CSI). However, reliability can be increased by exploiting space diversity from multiple receive antennas rather than retransmission with limited latency. Massive multi-user multiple-input-multiple-output (MU-MIMO) is studied to enable URLLC with imperfect CSI from least-square channel estimation. The linear minimum error probability (MEP) detector with a given length of pilots (LoP) is derived. Further, the LoP is optimized to minimize the error probability of the uplink with a limited number of channel uses, using the finite blocklength information theory and one-dimensional search methods. Numerical results verify that the proposed linear MEP detection incorporated in massive MU-MIMO improves reliability with limited latency and imperfect CSI.	en_US
dc.relation.ispartof	IEEE Transactions on Vehicular Technology	en_US
dc.relation.isbasedon	10.1109/TVT.2019.2944489	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	Linear Minimum Error Probability Detection for Massive MU-MIMO with Imperfect CSI in URLLC	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	68	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	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	closed_access	*
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	68	en_US

Abstract:

© 1967-2012 IEEE. It is challenging to realize ultra-reliable and low latency communications (URLLC) under severe shadow fading and imperfect channel state information (CSI). However, reliability can be increased by exploiting space diversity from multiple receive antennas rather than retransmission with limited latency. Massive multi-user multiple-input-multiple-output (MU-MIMO) is studied to enable URLLC with imperfect CSI from least-square channel estimation. The linear minimum error probability (MEP) detector with a given length of pilots (LoP) is derived. Further, the LoP is optimized to minimize the error probability of the uplink with a limited number of channel uses, using the finite blocklength information theory and one-dimensional search methods. Numerical results verify that the proposed linear MEP detection incorporated in massive MU-MIMO improves reliability with limited latency and imperfect CSI.

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http://hdl.handle.net/10453/140000