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Capacity per Unit-Energy of Gaussian Random Many-Access 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.authorRavikumaran Nair, Jithin
dc.contributor.authorKoch, Tobias Mirco
dc.contributor.funderEuropean Commissionen
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2020-09-30T09:23:16Z
dc.date.available2020-09-30T09:23:16Z
dc.date.issued2020-08-24
dc.descriptionProceeding of: 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020en
dc.description.abstractWe consider a Gaussian multiple-access channel with random user activity where the total number of userslₙ and the average number of active users kₙ may be unbounded. For this channel, we characterize the maximum number of bits that can be transmitted reliably per unit-energy in terms of lₙ and kₙ . We show that if kₙ log lₙ is sublinear in n, then each user can achieve the single-user capacity per unit-energy. Conversely, if kₙ log lₙ is superlinear in n, then the capacity per unit-energy is zero. We further demonstrate that orthogonal-access schemes, which are optimal when all users are active with probability one, can be strictly suboptimal.en
dc.description.sponsorshipJ. Ravi and T. Koch have received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant No. 714161). T. Koch has further received funding from the Spanish Ministerio de Economía y Competitividad under Grants RYC-2014-16332 and TEC2016-78434-C3-3-R (AEI/FEDER, EU).en
dc.format.extent6es
dc.identifier.bibliographicCitation2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020, Pp. 3025-3030en
dc.identifier.doihttps://doi.org/10.1109/ISIT44484.2020.9174091
dc.identifier.isbn978-1-7281-6432-8
dc.identifier.publicationfirstpage3025es
dc.identifier.publicationlastpage3030es
dc.identifier.publicationtitle2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020en
dc.identifier.urihttps://hdl.handle.net/10016/30902
dc.identifier.uxxiCC/0000030508
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2020-06-21es
dc.relation.eventplaceLos Angeles, CA, Estados Unidosen
dc.relation.eventtitle2020 IEEE International Symposium on Information Theory (ISIT)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/714161/LOLITAen
dc.relation.projectIDGobierno de España. RYC-2014-16332es
dc.relation.projectIDGobierno de España. TEC2016-78434-C3-3-Res
dc.rights© 2020 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherChannel capacityen
dc.subject.otherGaussian channelsen
dc.subject.otherMulti-access systemsen
dc.titleCapacity per Unit-Energy of Gaussian Random Many-Access Channelsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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