Influence of human body on massive MIMO indoor channels

Cui, PF; Zhang, JA; Lu, WJ; Guo, YJ; Zhu, HB

Influence of human body on massive MIMO indoor channels

Cui, PF

Zhang, JA

Lu, WJ Guo, YJ Zhu, HB

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2019, 2019-April
Issue Date:: 2019-04-01

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Field	Value	Language
dc.contributor.author	Cui, PF https://orcid.org/0000-0001-8594-7460	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Lu, WJ	en_US
dc.contributor.author	Guo, YJ	en_US
dc.contributor.author	Zhu, HB	en_US
dc.date.issued	2019-04-01	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2019, 2019-April	en_US
dc.identifier.isbn	9781728112176	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131761
dc.description.abstract	© 2019 IEEE. Massive MIMO can dramatically improve capacity and spectral efficiency. However, it is not very clear whether it can significantly improve the signal blockage problem that exists in single antenna systems. In this paper, we investigate the impact of the human body on indoor massive MIMO channels, using practically measured channel data for a 32x8 massive MIMO system in a complex office environment. We introduce a parameter of Power Imbalance (PI) indices to estimate the wide-sense none-stationarity in multiple domains and another parameter of Channel Popularity Indices (CPI) to predict the popularity of MIMO channel. We find that in most cases, the presence of the human body still has a non- negligible negative impact. It decreases the ergodic capacity by about 8% and increases the path loss exponent by 1. In average, the ergodic capacity for NLOS channels are 15% higher than that for LOS.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2019.8746339	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Influence of human body on massive MIMO indoor channels	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2019-April	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-12-02T00:00:00+1100
pubs.publication-status	Published	en_US
pubs.volume	2019-April	en_US

Abstract:

© 2019 IEEE. Massive MIMO can dramatically improve capacity and spectral efficiency. However, it is not very clear whether it can significantly improve the signal blockage problem that exists in single antenna systems. In this paper, we investigate the impact of the human body on indoor massive MIMO channels, using practically measured channel data for a 32x8 massive MIMO system in a complex office environment. We introduce a parameter of Power Imbalance (PI) indices to estimate the wide-sense none-stationarity in multiple domains and another parameter of Channel Popularity Indices (CPI) to predict the popularity of MIMO channel. We find that in most cases, the presence of the human body still has a non- negligible negative impact. It decreases the ergodic capacity by about 8% and increases the path loss exponent by 1. In average, the ergodic capacity for NLOS channels are 15% higher than that for LOS.

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http://hdl.handle.net/10453/131761