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dc.contributor.authorPapazafeiropoulos, Anastasios
dc.contributor.authorAbdullah, Zaid
dc.contributor.authorKourtessis, Pandelis
dc.contributor.authorKisseleff, Steven
dc.contributor.authorKrikidis, Ioannis
dc.date.accessioned2022-09-09T13:45:02Z
dc.date.available2022-09-09T13:45:02Z
dc.date.issued2022-06-01
dc.identifier.citationPapazafeiropoulos , A , Abdullah , Z , Kourtessis , P , Kisseleff , S & Krikidis , I 2022 , ' Coverage Probability of STAR-RIS assisted Massive MIMO systems with Correlation and Phase Errors ' , IEEE Wireless Communications Letters , vol. 11 , no. 8 , pp. 1738-1742 . https://doi.org/10.1109/LWC.2022.3179653
dc.identifier.issn2162-2337
dc.identifier.otherORCID: /0000-0003-1841-6461/work/118756299
dc.identifier.urihttp://hdl.handle.net/2299/25757
dc.description© 2022 IEEE. This is the accepted manuscript version of an article which has been published in final form http://doi.org/ 10.1109/LWC.2022.3179653
dc.description.abstractIn this letter, we investigate a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisting a massive multiple-input multiple-output (mMIMO) system. In particular, we derive a closed-form expression for the coverage probability of a STAR-RIS assisted mMIMO system while accounting for correlated fading and phase-shift errors. Notably, the phase configuration takes place at every several coherence intervals by optimizing the coverage probability since the latter depends on statistical channel state information (CSI) in terms of large-scale statistics. As a result, we achieve a reduced complexity and overhead for the optimization of passive beamforming, which are increased in the case of STAR-RIS networks with instantaneous CSI. Numerical results corroborate our analysis, shed light on interesting properties such as the impact of the number of RIS elements and the effect of phase errors, along with affirming the superiority of STAR-RIS against reflective-only RIS.en
dc.format.extent5
dc.format.extent709254
dc.language.isoeng
dc.relation.ispartofIEEE Wireless Communications Letters
dc.subject6G networks.
dc.subjectArray signal processing
dc.subjectCorrelation
dc.subjectcoverage probability
dc.subjectFinite element analysis
dc.subjectOptimization
dc.subjectProbability density function
dc.subjectProtocols
dc.subjectReconfigurable intelligent surface (RIS)
dc.subjectReflection
dc.subjectsimultaneous transmission and reflection
dc.subjectspatial correlation
dc.subjectControl and Systems Engineering
dc.subjectElectrical and Electronic Engineering
dc.titleCoverage Probability of STAR-RIS assisted Massive MIMO systems with Correlation and Phase Errorsen
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.contributor.institutionSPECS Deans Group
dc.contributor.institutionOptical Networks
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85131733164&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1109/LWC.2022.3179653
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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