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dc.contributor.authorLópez Fernández, Jesús Alberto
dc.contributor.authorGonzález Ayestarán, Rafael
dc.contributor.authorSantamaría Caballero, Luis Ignacio 
dc.contributor.authorLameiro Gutiérrez, Christian 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-01-30T12:19:55Z
dc.date.available2020-01-30T12:19:55Z
dc.date.issued2019-08
dc.identifier.issn0090-6778
dc.identifier.issn1558-0857
dc.identifier.otherTEC2017-86619-Res_ES
dc.identifier.otherTEC2016-75067-C4-4-Res_ES
dc.identifier.otherTEC2015-69648-REDCes_ES
dc.identifier.urihttp://hdl.handle.net/10902/17958
dc.description.abstractThis paper addresses the problem of designing asymptotically optimal improper constellations with a given circularity coefficient (correlation coefficient between the constellation and its complex conjugate). The designed constellations are optimal in the sense that, at high signal-to-noise-ratio (SNR) and for a large number of symbols, yield the lowest probability of error under an average power constraint for additive white Gaussian noise channels. As the number of symbols grows, the optimal constellation is the intersection of the hexagonal lattice with an ellipse whose eccentricity determines the circularity coefficient. Based on this asymptotic result, we propose an algorithm to design finite improper constellations. The proposed constellations provide significant SNR gains with respect to previous improper designs, which were generated through a widely linear transformation of a standard M-ary quadrature amplitude modulation constellation. As an application example, we study the use of these improper constellations by a secondary user in an underlay cognitive radio network.es_ES
dc.description.sponsorshipThe work of Jesús A. López-Fernández and R. G. Ayestarán was partly supported by the Ministerio de Ciencia, Innovación y Universidades under project TEC2017-86619-R (ARTEINE), and by the Gobierno del Principado de Asturias under project GRUPIN-IDI2018-000191. The work of I. Santamaria was partly supported by the Ministerio de Economía y Competitividad (MINECO) of Spain, and AEI/FEDER funds of the E.U., under grant TEC2016-75067-C4-4-R (CARMEN) and TEC2015-69648-REDC (Red COMONSENS). The work of C. Lameiro was supported by the German Research Foundation (DFG) under grant LA 4107/1-1.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.rights© 2019 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.es_ES
dc.sourceIEEE Transactions on Communications, 2019, 67(8), 5445-5457es_ES
dc.subject.otherImproper signalses_ES
dc.subject.otherGaussian noise channelses_ES
dc.subject.otherTwo-dimensional latticeses_ES
dc.subject.otherWidely linear processinges_ES
dc.titleDesign of asymptotically optimal improper constellations with hexagonal packinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1109/TCOMM.2019.2916857es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1109/TCOMM.2019.2916857
dc.type.versionacceptedVersiones_ES


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