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Ultra-Reliable Low Latency based on Retransmission and Spatial Diversity in slowly fading channels with co-channel interference

dc.contributor.authorSamano-Robles, Ramiro
dc.date.accessioned2020-01-17T10:52:10Z
dc.date.embargo2120
dc.date.issued2019
dc.description.abstractThis paper presents the analysis of the statistics of latency and information theoretic capacity of an adaptive link with retransmission-spatial diversity in a scenario with co-channel interference. The paper focuses specifically on the delay of the wireless transmission component, measured from the instant a packet at the head of the queue is first transmitted until it is correctly received by the destination (considering retransmissions). The objective is to evaluate the ability of temporal and spatial diversity tools to achieve ultra-low values of latency as desired in future 5G and machine-to-machine (M2M) networks with real-time requirements. It is assumed that the source transmits information towards the destination in a Rayleigh fading spatially correlated channel. In case the instantaneous signal-to-interference-plus-noise (SINR) ratio has not surpassed a predetermined reception threshold, then the source engages in a persistent retransmission protocol. All the copies of the original transmission and subsequent retransmissions are stored in memory and processed at the destination using maximum ratio combining (MRC) to obtain a more reliable copy of the signal (a scheme also called retransmission diversity). The retransmission scheme stops once the instantaneous post-processing SINR achieves the desired target threshold. This persistent retransmission scheme can also be regarded as a security mechanism against interference jamming attacks. Since retransmissions are assumed to take place in a short time interval in order to achieve very low values of latency, they are modelled with statistical temporal correlation, which is explicitly introduced in the embedded Gaussian channel distribution model. Results suggest that retransmission diversity can provide good latency results in moderate to high values of SINR. However, at low SINR, a combination with other diversity sources will be necessary to achieve the desired target value.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ETFA.2019.8869236pt_PT
dc.identifier.issn1946-0759
dc.identifier.urihttp://hdl.handle.net/10400.22/15298
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation5GSDN, ref. POCI-01-0145-FEDER032218pt_PT
dc.relationSecure COnnected Trustable Things
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8869236pt_PT
dc.subjectInterferencept_PT
dc.subjectDiversity receptionpt_PT
dc.subjectSignal to noise ratiopt_PT
dc.subjectCorrelationpt_PT
dc.subjectRandom variablespt_PT
dc.subjectSlot antennaspt_PT
dc.subjectWireless communicationpt_PT
dc.titleUltra-Reliable Low Latency based on Retransmission and Spatial Diversity in slowly fading channels with co-channel interferencept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSecure COnnected Trustable Things
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/737422/EU
oaire.citation.conferencePlaceZaragoza, Spainpt_PT
oaire.citation.endPage1795pt_PT
oaire.citation.startPage1790pt_PT
oaire.citation.titleProceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2019)pt_PT
oaire.fundingStreamH2020
person.familyNameSamano-Robles
person.givenNameRamiro
person.identifier.ciencia-id0717-6659-467C
person.identifier.orcid0000-0002-1054-1818
person.identifier.scopus-author-id23477889200
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationac51ae9d-002d-4803-b9af-5fbbb162832b
relation.isAuthorOfPublication.latestForDiscoveryac51ae9d-002d-4803-b9af-5fbbb162832b
relation.isProjectOfPublication2e38187e-a9d9-470a-9e8a-c8d744891557
relation.isProjectOfPublication.latestForDiscovery2e38187e-a9d9-470a-9e8a-c8d744891557

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