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Article: Tight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties

TitleTight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties
Authors
Issue Date2015
Citation
IEEE Transactions on Signal Processing, 2015, v. 63, p. 3490-3505 How to Cite?
AbstractIn downlink multi-user beamforming, a single bases- tation is serving a number of users simultaneously. However, energy intended for one user may leak to other unintended users, causing interference. With signal-to-interference-plus-noise ratio (SINR) being one of the most crucial quality metrics to users, beamforming design with SINR guarantee has always been an important research topic. However, when the channel state information is not accurate, the SINR requirements become probabilistic constraints, which unfortunately are not tractable analytically for general uncertainty distribution. Therefore, ex- isting probabilistic beamforming methods focus on the relatively simple Gaussian and uniform channel uncertainties, and mainly rely on probability inequality based approximated solutions, resulting in conservative SINR outage realizations. In this paper, based on the local structure of the feasible set in the probabilistic beamforming problem, a systematic method is proposed to realize tight SINR outage control for a large class of channel uncertainty distributions. With channel estimation and quantization errors as examples, simulation results show that the SINR outage can be re- alized tightly, which results in reduced transmit power compared to the existing inequality based probabilistic beamformers.
Persistent Identifierhttp://hdl.handle.net/10722/214164

 

DC FieldValueLanguage
dc.contributor.authorHE, X-
dc.contributor.authorWu, YC-
dc.date.accessioned2015-08-21T10:51:27Z-
dc.date.available2015-08-21T10:51:27Z-
dc.date.issued2015-
dc.identifier.citationIEEE Transactions on Signal Processing, 2015, v. 63, p. 3490-3505-
dc.identifier.urihttp://hdl.handle.net/10722/214164-
dc.description.abstractIn downlink multi-user beamforming, a single bases- tation is serving a number of users simultaneously. However, energy intended for one user may leak to other unintended users, causing interference. With signal-to-interference-plus-noise ratio (SINR) being one of the most crucial quality metrics to users, beamforming design with SINR guarantee has always been an important research topic. However, when the channel state information is not accurate, the SINR requirements become probabilistic constraints, which unfortunately are not tractable analytically for general uncertainty distribution. Therefore, ex- isting probabilistic beamforming methods focus on the relatively simple Gaussian and uniform channel uncertainties, and mainly rely on probability inequality based approximated solutions, resulting in conservative SINR outage realizations. In this paper, based on the local structure of the feasible set in the probabilistic beamforming problem, a systematic method is proposed to realize tight SINR outage control for a large class of channel uncertainty distributions. With channel estimation and quantization errors as examples, simulation results show that the SINR outage can be re- alized tightly, which results in reduced transmit power compared to the existing inequality based probabilistic beamformers.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Signal Processing-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
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.titleTight Probabilistic SINR Constrained Beamforming Under Channel Uncertainties-
dc.typeArticle-
dc.identifier.emailWu, YC: ycwu@eee.hku.hk-
dc.identifier.authorityWu, YC=rp00195-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TSP.2015.2425806-
dc.identifier.hkuros248925-
dc.identifier.volume63-
dc.identifier.spage3490-
dc.identifier.epage3505-

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