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Article: Interference alignment for uplink cellular systems with limited feedback

TitleInterference alignment for uplink cellular systems with limited feedback
Authors
Issue Date2012
Citation
IEEE Communications Letters, 2012, v. 16 n. 7, p. 960-963 How to Cite?
AbstractAssuming perfect channel state information, the existing interference alignment (IA) algorithm proposed in suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback, resulting in residual ICI. In this letter, we propose the optimization of the reference vector for regulating the residual ICI. Specifically, it is shown that the reference vector that minimizes an upper bound on the residual ICI power is the eigenvector corresponding to the largest eigenvalue of the sum of the interference-channel matrices multiplied by their corresponding Hermitian matrices. Moreover, the performance gain of the proposed IA algorithm compared with the existing one in is analyzed and demonstrated by simulation to be significant. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/194432
ISSN
2015 Impact Factor: 1.291
2015 SCImago Journal Rankings: 0.934
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCho, S-
dc.contributor.authorHuang, K-
dc.contributor.authorKim, D-
dc.contributor.authorSeo, H-
dc.date.accessioned2014-01-30T03:32:35Z-
dc.date.available2014-01-30T03:32:35Z-
dc.date.issued2012-
dc.identifier.citationIEEE Communications Letters, 2012, v. 16 n. 7, p. 960-963-
dc.identifier.issn1089-7798-
dc.identifier.urihttp://hdl.handle.net/10722/194432-
dc.description.abstractAssuming perfect channel state information, the existing interference alignment (IA) algorithm proposed in suppresses inter-cell interference (ICI) by aligning ICI to a randomly selected reference vector. However, IA in practice relies on limited feedback, resulting in residual ICI. In this letter, we propose the optimization of the reference vector for regulating the residual ICI. Specifically, it is shown that the reference vector that minimizes an upper bound on the residual ICI power is the eigenvector corresponding to the largest eigenvalue of the sum of the interference-channel matrices multiplied by their corresponding Hermitian matrices. Moreover, the performance gain of the proposed IA algorithm compared with the existing one in is analyzed and demonstrated by simulation to be significant. © 2012 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Communications Letters-
dc.titleInterference alignment for uplink cellular systems with limited feedback-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LCOMM.2012.050112.120316-
dc.identifier.scopuseid_2-s2.0-84864147608-
dc.identifier.volume16-
dc.identifier.issue7-
dc.identifier.spage960-
dc.identifier.epage963-
dc.identifier.isiWOS:000306599000003-

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