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A Space-Time Correlation Model for MRC Receivers in Rayleigh Fading Channels

2020Journal article Open access
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dc.contributor.authorSamano-Robles, Ramiro
dc.date.accessioned2020-09-02T08:49:27Z
dc.date.available2020-09-02T08:49:27Z
dc.date.issued2020
dc.description.abstractThis paper presents a statistical model for maximum ratio combining (MRC) receivers in Rayleigh fading channels enabled with a temporal combining process. This means that the receiver effectively combines spatial and temporal branch components. Therefore, the signals that will be processed by the MRC receiver are collected not only across different antennas (space), \mbox{but also} at different instants of time. This suggests the use of a retransmission, repetition or space-time coding algorithm that forces the receiver to store signals in memory at different instants of time. Eventually, these stored signals are combined after a predefined or dynamically optimized number of time-slots or retransmissions. The model includes temporal correlation features in addition to the space correlation between the signals of the different components or branches of the MRC receiver. The derivation uses a frequency domain approach (using the characteristic function of the random variables) to obtain closed-form expressions of the statistics of the post-processing signal-to-noise ratio (SNR) under the assumption of equivalent correlation in time and equivalent correlation in space. The described methodology paves the way for the reformulation of other statistical functions as a frequency-domain polynomial root analysis problem. This is opposed to the infinite series approach that is used in the conventional methodology using directly the probability density function (PDF). The results suggest that temporal diversity is a good complement to receivers with limited spatial diversity capabilities. It is also shown that this additional operation could be maximized when the temporal diversity is adaptive (i.e., activated by thresholds of SNR), thus leading to a better resource utilization.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/technologies8030041pt_PT
dc.identifier.issn2227-7080
dc.identifier.urihttp://hdl.handle.net/10400.22/16204
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCISTER Research Unit (UID/CEC/04234)pt_PT
dc.relation5GSDN (POCI-01-0145-FEDER-032218)pt_PT
dc.relationIntelligent Secure Trustable Things
dc.relation.publisherversionhttps://www.mdpi.com/2227-7080/8/3/41pt_PT
dc.subjectMRCpt_PT
dc.subjectDiversitypt_PT
dc.subjectCorrelationpt_PT
dc.subjectStatistical modellingpt_PT
dc.titleA Space-Time Correlation Model for MRC Receivers in Rayleigh Fading Channelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleIntelligent Secure Trustable Things
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/876038/EU
oaire.citation.endPage16pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleTechnologiespt_PT
oaire.citation.volume8pt_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.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationac51ae9d-002d-4803-b9af-5fbbb162832b
relation.isAuthorOfPublication.latestForDiscoveryac51ae9d-002d-4803-b9af-5fbbb162832b
relation.isProjectOfPublication882f0860-0908-4343-a509-7afb7b578440
relation.isProjectOfPublication.latestForDiscovery882f0860-0908-4343-a509-7afb7b578440

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