Publication:
Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)es
dc.contributor.authorHuleihel, Wasim
dc.contributor.authorGoldfeld, Ziv
dc.contributor.authorKoch, Tobias Mirco
dc.contributor.authorMadiman, Mokshay
dc.contributor.authorMédard, Muriel
dc.contributor.authorHuleihel, Wasim
dc.date.accessioned2018-10-03T11:23:19Z
dc.date.available2018-10-03T11:23:19Z
dc.date.issued2018-08-16
dc.descriptionProceeding of: IEEE International Symposium on Information Theory (ISIT 2018)en
dc.description.abstractThe capacity-achieving input distribution of the complex Gaussian channel with both average- and peak-power constraint is known to have a discrete amplitude and a continuous, uniformly-distributed, phase. Practical considerations, however, render the continuous phase inapplicable. This work studies the backoff from capacity induced by discretizing the phase of the input signal. A sufficient condition on the total number of quantization points that guarantees an arbitrarily small backoff is derived, and constellations that attain this guaranteed performance are proposed.en
dc.description.sponsorshipThe work of W. Huleihel was supported by the MIT - Technion Postdoctoral Fellowship. The work of Z. Goldfeld was supported by the Rothchild postdoctoral fellowship. The work of T. Koch has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement number 714161), from the Spanish Ministerio de Economíıa y Competitividad under Grants TEC2013-41718-R, RYC-2014-16332, and TEC2016-78434-C3-3-R (AEI/FEDER, EU), and from the Comunidad de Madrid under Grant S2103/ICE-2845. The work of M. Mokshay was supported by NSF grant #1409504.en
dc.format.extent5es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE International Symposium on Information Theory (ISIT 2018), 17-22 June 2018, Vail, Colorado, USA. [Proceedings], 5 p.en
dc.identifier.isbn978-1-5386-4780-6
dc.identifier.issn2157-8117
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage5es
dc.identifier.publicationtitleIEEE International Symposium on Information Theory (ISIT 2018) [Proceedings]en
dc.identifier.urihttps://hdl.handle.net/10016/27521
dc.identifier.uxxiCC/0000027947
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2018-06-17es
dc.relation.eventplaceVail, Colorado, USAen
dc.relation.eventtitleIEEE International Symposium on Information Theory (ISIT 2018)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/714161en
dc.relation.projectIDGobierno de España. TEC2013-41718-Res
dc.relation.projectIDGobierno de España. RYC-2014-16332es
dc.relation.projectIDGobierno de España. TEC2016-78434-C3-3-R (AEI/FEDER, EU)es
dc.relation.projectIDComunidad de Madrid. S2103/ICE-2845es
dc.rights© 2018 IEEE.es
dc.rights.accessRightsopen accessen
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherDiscrete constellationsen
dc.subject.otherPeak-power-limited complex Gaussian channelsen
dc.subject.otherCapacity-achieving input distributionen
dc.subject.otherDiscrete amplitudeen
dc.titleDesign of Discrete Constellations for Peak-Power-Limited complex Gaussian Channelsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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