Bursty Wireless Networks of Bounded Capacity

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dc.contributor.author Villacrés Estrada, Grace Silvana
dc.contributor.author Koch, Tobias Mirco
dc.contributor.author Vázquez Vilar, Gonzalo
dc.date.accessioned 2020-09-30T09:46:18Z
dc.date.available 2020-09-30T09:46:18Z
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. 2959-2964
dc.identifier.isbn 978-1-7281-6432-8
dc.identifier.uri http://hdl.handle.net/10016/30903
dc.description Proceeding of: 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020
dc.description.abstract The channel capacity of wireless networks Is often studied under the assumption that the communicating nodes have perfect channel-state information and that interference is always present. In this paper, we study the channel capacity of a wireless network without these assumptions, i.e., a bursty noncoherent wireless network where the users are grouped in cells and the base-station features several receive antennas. We demonstrate that the channel capacity is bounded in the signal-to-noise ratio (SNR) when the number of receive antennas is finite and the probability of presence of interference is strictly positive.
dc.description.sponsorship This work has been supported in part by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant No. 714161), and by 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 Cellular radio
dc.subject.other Channel capacity
dc.subject.other Probability
dc.subject.other Radiofrequency interference
dc.subject.other Receiving antennas
dc.title Bursty Wireless Networks of Bounded Capacity
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Electrónica
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/ISIT44484.2020.9174034
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, USA
dc.relation.eventtitle 2020 IEEE International Symposium on Information Theory (ISIT)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 2959
dc.identifier.publicationlastpage 2964
dc.identifier.publicationtitle 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 21-26 June 2020
dc.identifier.uxxi CC/0000031028
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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