Pilots Optimization and Surface Area Effects on Channel Estimation in RIS Aided MIMO System

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dc.contributor.authorHaroon Aurangzeb, Muhammad
dc.contributor.authorAkram, Faisal
dc.contributor.authorRashid, Imran
dc.contributor.authorAhmed, Attiq
dc.coverage.issue2cs
dc.coverage.volume32cs
dc.date.accessioned2023-10-11T07:43:38Z
dc.date.available2023-10-11T07:43:38Z
dc.date.issued2023-06cs
dc.description.abstractReconfigurable intelligent surface (RIS) is an emerging tool for 5G and wireless communication technologies that have attracted researchers' interest. However, the passive nature and the high number of reflecting elements in RIS result in a large pilot overhead, which makes channel estimation challenging in multi-user multiple-input multiple-output (MU-MIMO) wireless communication systems. Previous works have shown an improvement in reducing the pilot overhead by exploiting the structured sparsity in rows and columns, which was further improved by compensating offset among users in angular cascaded channels of RIS aided system. To further reduce the pilot overhead, we analyze and adopt coherence-optimized pilots for channel estimation and propose an algorithm to analyze the combined effect of low-coherence pilots with an optimum size of RIS elements for a given number of users, transmit antennas, and normalized error threshold performance. The simulation results illustrate better NMSE performance as compared to contemporary techniques.en
dc.formattextcs
dc.format.extent187-196cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 2, s. 187-196. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0187en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/214319
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_02_0187_0196.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectChannel estimationen
dc.subjectcompressed sensingen
dc.subjectreconfigurable intelligent surfaceen
dc.subjectmm-wave mimo communicationen
dc.subjectsparse channelen
dc.titlePilots Optimization and Surface Area Effects on Channel Estimation in RIS Aided MIMO Systemen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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