Robust power allocation for MIMO beamforming under time varying channel conditions

Kulkarni, VV; Biswas, J; Liu, RP; Collings, IB; Jha, SK

Robust power allocation for MIMO beamforming under time varying channel conditions

Kulkarni, VV Biswas, J Liu, RP

Collings, IB Jha, SK

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2011
Issue Date:: 2011-12-23

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Field	Value	Language
dc.contributor.author	Kulkarni, VV	en_US
dc.contributor.author	Biswas, J	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Collings, IB	en_US
dc.contributor.author	Jha, SK	en_US
dc.date.issued	2011-12-23	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2011	en_US
dc.identifier.isbn	9781424483273	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119937
dc.description.abstract	We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions. © 2011 IEEE.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VETECF.2011.6093136	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Robust power allocation for MIMO beamforming under time varying channel conditions	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	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.publication-status	Published	en_US

Abstract:

We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions. © 2011 IEEE.

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http://hdl.handle.net/10453/119937