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On quasi-optimum iterative DF detection for large-scale MU-MIMO systems

2017-12-08Artigo científico Acesso restrito
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dc.contributor.authorTorres, Paulo
dc.contributor.authorGusmão, António
dc.date.accessioned2017-12-20T11:56:51Z
dc.date.available2017-12-20T11:56:51Z
dc.date.issued2017-12-08
dc.description.abstractIn a "Massive MIMO" context, we evaluate low-complexity iterative DF detection techniques involving interference cancellation at the output of an MF multiuser detector. These techniques can offer some performance advantage over the somewhat more complex (due to matrix inversion requirements) linear, ideal MMSE detection. Moreover, we can achieve close approximations to appropriate performance bounds - which are able to take into account channel estimation imperfections -, even for NR/NT <10, when NR/NT is also high enough to ensure iterative DF convergence.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTORRES, Paulo; GUSMÃO, António (2017) - On quasi-optimum iterative DF detection for large-scale MU-MIMO systems. Transactions on Emerging Telecommunications Technologies. ISSN: 2161-3915. DOI: https://doi.org/10.1002/ett.3260pt_PT
dc.identifier.doi10.1002/ett.3260pt_PT
dc.identifier.issn2161-3915
dc.identifier.urihttp://hdl.handle.net/10400.11/5811
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2161-3915/earlyviewpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMassive MIMOpt_PT
dc.subjectSC/FDEpt_PT
dc.subjectIterative decision-feedback detectionpt_PT
dc.subjectLow complexitypt_PT
dc.subjectImperfect channel estimationpt_PT
dc.subjectPerformance boundspt_PT
dc.titleOn quasi-optimum iterative DF detection for large-scale MU-MIMO systemspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleTransactions on Emerging Telecommunications Technologiespt_PT
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT

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