File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Robust Linear MIMO in the Downlink: A Worst-Case Optimization wtih Ellipsoidal Uncertainty Regions

TitleRobust Linear MIMO in the Downlink: A Worst-Case Optimization wtih Ellipsoidal Uncertainty Regions
Authors
Issue Date2008
PublisherSpringerOpen. The Journal's web site is located at http://asp.eurasipjournals.com
Citation
Eurasip Journal on Advances in Signal Processing, 2008, article no. 609028 How to Cite?
AbstractThis paper addresses the joint robust power control and beamforming design of a linear multiuser multiple-input multiple-output (MIMO) antenna system in the downlink where users are subjected to individual signal-to-interference-plus-noise ratio (SINR) requirements, and the channel state information at the transmitter (CSIT) with its uncertainty characterized by an ellipsoidal region. The objective is to minimize the overall transmit power while guaranteeing the users' SINR constraints for every channel instantiation by designing the joint transmitreceive beamforming vectors robust to the channel uncertainty. This paper first investigates a multiuser MISO system (i.e., MIMO with single-antenna receivers) and by imposing the constraints on an SINR lower bound, a robust solution is obtained in a way similar to that with perfect CSI. We then present a reformulation of the robust optimization problem using S-Procedure which enables us to obtain the globally optimal robust power control with fixed transmit beamforming. Further, we propose to find the optimal robust MISO beamforming via convex optimization and rank relaxation. A convergent iterative algorithm is presented to extend the robust solution for multiuser MIMO systems with both perfect and imperfect channel state information at the receiver (CSIR) to guarantee the worst-case SINR. Simulation results illustrate that the proposed joint robust power and beamforming optimization significantly outperforms the optimal robust power allocation with zeroforcing (ZF) beamformers, and more importantly enlarges the feasibility regions of a multiuser MIMO system.
Persistent Identifierhttp://hdl.handle.net/10722/58771
ISSN
2010 Impact Factor: 1.053
2015 SCImago Journal Rankings: 0.297

 

DC FieldValueLanguage
dc.contributor.authorZheng, Gen_HK
dc.contributor.authorWong, KKen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2010-05-31T03:36:37Z-
dc.date.available2010-05-31T03:36:37Z-
dc.date.issued2008en_HK
dc.identifier.citationEurasip Journal on Advances in Signal Processing, 2008, article no. 609028en_HK
dc.identifier.issn1687-6172-
dc.identifier.urihttp://hdl.handle.net/10722/58771-
dc.description.abstractThis paper addresses the joint robust power control and beamforming design of a linear multiuser multiple-input multiple-output (MIMO) antenna system in the downlink where users are subjected to individual signal-to-interference-plus-noise ratio (SINR) requirements, and the channel state information at the transmitter (CSIT) with its uncertainty characterized by an ellipsoidal region. The objective is to minimize the overall transmit power while guaranteeing the users' SINR constraints for every channel instantiation by designing the joint transmitreceive beamforming vectors robust to the channel uncertainty. This paper first investigates a multiuser MISO system (i.e., MIMO with single-antenna receivers) and by imposing the constraints on an SINR lower bound, a robust solution is obtained in a way similar to that with perfect CSI. We then present a reformulation of the robust optimization problem using S-Procedure which enables us to obtain the globally optimal robust power control with fixed transmit beamforming. Further, we propose to find the optimal robust MISO beamforming via convex optimization and rank relaxation. A convergent iterative algorithm is presented to extend the robust solution for multiuser MIMO systems with both perfect and imperfect channel state information at the receiver (CSIR) to guarantee the worst-case SINR. Simulation results illustrate that the proposed joint robust power and beamforming optimization significantly outperforms the optimal robust power allocation with zeroforcing (ZF) beamformers, and more importantly enlarges the feasibility regions of a multiuser MIMO system.-
dc.languageengen_HK
dc.publisherSpringerOpen. The Journal's web site is located at http://asp.eurasipjournals.comen_HK
dc.relation.ispartofEurasip Journal on Advances in Signal Processingen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleRobust Linear MIMO in the Downlink: A Worst-Case Optimization wtih Ellipsoidal Uncertainty Regionsen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, KK: k.wong@adastral.ucl.ac.uken_HK
dc.identifier.emailNg, TS: tsng@eee.hku.hk-
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1155/2008/609028-
dc.identifier.hkuros164445en_HK
dc.identifier.spagearticle no. 609028-
dc.identifier.epagearticle no. 609028-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats