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Scaling laws for many-access channels and unsourced random access

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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 Ciencia e Innovación (España)es
dc.date.accessioned2022-04-06T15:16:29Z
dc.date.available2022-04-06T15:16:29Z
dc.date.issued2022-03-04
dc.descriptionProceeding of: 55th Asilomar Conference on Signals, Systems, and Computers, October 31 - November 3, 2021 Pacific Grove, California, USA.en
dc.description.abstractIn the emerging Internet of Things, a massive number of devices may connect to one common receiver. Consequently, models that study this setting are variants of the classical multiple-access channel where the number of users grows with the blocklength. Roughly, these models can be classified into three groups based on two criteria: the notion of probability of error and whether users use the same codebook. The first group follows the classical notion of probability of error and assumes that users use different codebooks. In the second group, users use different codebooks, but a new notion of probability of error called per-user probability of error is considered. The third group considers the per-user probability of error and that users are restricted to use the same codebook. This group is also known as unsourced random access. For the first and second groups of models, scaling laws that describe the capacity per unit-energy as a function of the order of growth of users were characterized by Ravi and Koch (arxiv.org/abs/2012.10350). In this paper, we first review these results. We then present scaling laws for the third group of models, i.e., unsourced random access.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 Ciencia e Innovación under Grant PID2020-116683GB-C21 / AEI / 10.13039/501100011033.en
dc.format.extent6es
dc.identifier.bibliographicCitationKoch, Tobias Mirco; Ravikumaran Nair, Jithin (2022). Scaling laws for many-access channels and unsourced random access. 2021 55th Asilomar Conference on Signals, Systems, and Computers. IEEE, Pp. 1482-1487en
dc.identifier.doihttps://doi.org/10.1109/IEEECONF53345.2021.9723116
dc.identifier.isbn978-1-6654-5828-3
dc.identifier.publicationfirstpage1482es
dc.identifier.publicationlastpage1487es
dc.identifier.publicationtitle2021 55th Asilomar Conference on Signals, Systems, and Computersen
dc.identifier.urihttps://hdl.handle.net/10016/34537
dc.identifier.uxxiCC/0000033260
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate2021-10-31es
dc.relation.eventplacePacific Grove, California, ESTADOS UNIDOS DE AMERICAen
dc.relation.eventtitle55th Asilomar Conference on Signals, Systems, and Computersen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/714161/LOLITAen
dc.relation.projectIDGobierno de España. PID2020-116683GB-C21es
dc.rights© 2021 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaElectrónicaes
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherCapacity per unit-energyen
dc.subject.otherInternet of Thingsen
dc.subject.otherMany-access channelen
dc.subject.otherUnsourced random accessen
dc.titleScaling laws for many-access channels and unsourced random accessen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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