Dynamic and Sparsity Adaptive Compressed Sensing Based Active User Detection and Channel Estimation of Uplink Grant-Free SCMA

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dc.contributor.authorDurak, Mehmet Hakan
dc.contributor.authorErtug, Ozgur
dc.coverage.issue3cs
dc.coverage.volume30cs
dc.date.accessioned2021-11-08T10:24:40Z
dc.date.available2021-11-08T10:24:40Z
dc.date.issued2021-09cs
dc.description.abstractIn uplink (UL) grant-free sparse code multiple access (SCMA) systems, unlike the conventional contention-based transmission, users' activities should be known before data decoding due to sporadic transmission in massive machine-type communication (mMTC). Since compressed sensing (CS) is the theory of sparse signal reconstruction with fewer samples, this theory is a good solution to detect active users. In this paper, we propose the dynamic and sparsity adaptive compressed sensing (DSACS) based active user detection (AUD) and channel estimation (CE) of UL grant-free SCMA. Unlike most of the CS-based methods, sparsity knowledge or potential active user list is not needed in the proposed algorithm, which is already not known in the practical systems. The proposed algorithm adopts a stagewise approach to expand the set of accurate active users for adaptively achieve the sparsity level. It uses the temporal correlation of users' activity to improve performance and reduce complexity. Then, false detected users are eliminated with joint message passing algorithm (JMPA), and channel gains of the accurate active users are estimated again in CE with feedback. The simulation results show that the proposed method without sparsity knowledge is capable of achieving detection in various scenarios in case of sporadic transmission in mMTC.en
dc.formattextcs
dc.format.extent576-583cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2021 vol. 30, č. 3, s. 576-583. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2021.0576en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/201830
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2021/21_03_0576_0583.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSparse code multiple access (SCMA)en
dc.subjectcompressed sensingen
dc.subjectactive user detectionen
dc.subjectactivity detectionen
dc.subjectchannel estimationen
dc.subjectUL grant-free transmissionen
dc.subject5Gen
dc.subjectbeyond 5Gen
dc.titleDynamic and Sparsity Adaptive Compressed Sensing Based Active User Detection and Channel Estimation of Uplink Grant-Free SCMAen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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