Capacity per Unit-Energy of Gaussian Random Many-Access Channels

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dc.contributor.author Ravikumaran Nair, Jithin
dc.contributor.author Koch, Tobias Mirco
dc.date.accessioned 2020-09-30T09:23:16Z
dc.date.available 2020-09-30T09:23:16Z
dc.date.issued 2020-08-24
dc.identifier.bibliographicCitation 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020, Pp. 3025-3030
dc.identifier.isbn 978-1-7281-6432-8
dc.identifier.uri http://hdl.handle.net/10016/30902
dc.description Proceeding of: 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020
dc.description.abstract We 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.
dc.description.sponsorship J. 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).
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 IEEE.
dc.subject.other Channel capacity
dc.subject.other Gaussian channels
dc.subject.other Multi-access systems
dc.title Capacity per Unit-Energy of Gaussian Random Many-Access Channels
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Electrónica
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ISIT44484.2020.9174091
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/714161/LOLITA
dc.relation.projectID Gobierno de España. RYC-2014-16332
dc.relation.projectID Gobierno de España. TEC2016-78434-C3-3-R
dc.type.version acceptedVersion
dc.relation.eventdate 2020-06-21
dc.relation.eventplace Los Angeles, CA, Estados Unidos
dc.relation.eventtitle 2020 IEEE International Symposium on Information Theory (ISIT)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 3025
dc.identifier.publicationlastpage 3030
dc.identifier.publicationtitle 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020
dc.identifier.uxxi CC/0000030508
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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