Effect of CSI quantization on the average rate in MU-MIMO WLANs

Shrestha, S; Fang, G; Dutkiewicz, E; Huang, X

Effect of CSI quantization on the average rate in MU-MIMO WLANs

Shrestha, S Fang, G Dutkiewicz, E

Huang, X

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Publication Type:: Conference Proceeding
Citation:: 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, 2016, pp. 824 - 828
Issue Date:: 2016-03-30

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Field	Value	Language
dc.contributor.author	Shrestha, S	en_US
dc.contributor.author	Fang, G	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.date.issued	2016-03-30	en_US
dc.identifier.citation	2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016, 2016, pp. 824 - 828	en_US
dc.identifier.isbn	9781467392921	en_US
dc.identifier.uri	http://hdl.handle.net/10453/52359
dc.description.abstract	© 2016 IEEE. In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.	en_US
dc.relation.ispartof	2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016	en_US
dc.relation.isbasedon	10.1109/CCNC.2016.7444893	en_US
dc.title	Effect of CSI quantization on the average rate in MU-MIMO WLANs	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	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.publication-status	Published	en_US

Abstract:

© 2016 IEEE. In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.

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http://hdl.handle.net/10453/52359