File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Tight probablisitic MSE constrained multiuser MISO transceiver design under channel uncertainty

TitleTight probablisitic MSE constrained multiuser MISO transceiver design under channel uncertainty
Authors
KeywordsProbabilistic MSE constrained transceiver design
Tight probabilistic control
Channel uncertainty
Issue Date2015
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The 2015 IEEE International Conference on Communications (ICC 2015), London, UK., 8-12 June 2015. In IEEE International Conference on Communications, 2015, p. 4745 - 4750 How to Cite?
AbstractA novel optimization method is proposed to solve the probabilistic mean square error (MSE) constrained multiuser multiple-input single-output (MU-MISO) transceiver design problem. Since the probabilistic MSE constraints cannot be expressed in closed-form under Gaussian channel uncertainty, existing probabilistic transceiver design methods rely on probability inequality approximations, resulting in conservative MSE outage realizations. In this paper, based on local structure of the feasible set in the probabilistic MSE constrained transceiver design problem, a set squeezing procedure is proposed to realize tight MSE outage control. Simulation results show that the MSE outage can be realized tightly, which results in significantly reduced transmit power compared to the existing inequality based probabilistic transceiver design.
Persistent Identifierhttp://hdl.handle.net/10722/214823
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHe, X-
dc.contributor.authorWu, YC-
dc.date.accessioned2015-08-21T11:57:36Z-
dc.date.available2015-08-21T11:57:36Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE International Conference on Communications (ICC 2015), London, UK., 8-12 June 2015. In IEEE International Conference on Communications, 2015, p. 4745 - 4750-
dc.identifier.isbn978-1-4673-6432-4-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/214823-
dc.description.abstractA novel optimization method is proposed to solve the probabilistic mean square error (MSE) constrained multiuser multiple-input single-output (MU-MISO) transceiver design problem. Since the probabilistic MSE constraints cannot be expressed in closed-form under Gaussian channel uncertainty, existing probabilistic transceiver design methods rely on probability inequality approximations, resulting in conservative MSE outage realizations. In this paper, based on local structure of the feasible set in the probabilistic MSE constrained transceiver design problem, a set squeezing procedure is proposed to realize tight MSE outage control. Simulation results show that the MSE outage can be realized tightly, which results in significantly reduced transmit power compared to the existing inequality based probabilistic transceiver design.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofIEEE International Conference on Communications-
dc.rightsIEEE International Conference on Communications. Copyright © IEEE.-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectProbabilistic MSE constrained transceiver design-
dc.subjectTight probabilistic control-
dc.subjectChannel uncertainty-
dc.titleTight probablisitic MSE constrained multiuser MISO transceiver design under channel uncertainty-
dc.typeConference_Paper-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICC.2015.7249073-
dc.identifier.hkuros248929-
dc.identifier.spage4745-
dc.identifier.epage4750-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150916-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats