Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels

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dc.authoridElbir, Ahmet M./0000-0003-4060-3781
dc.authoridPapazafeiropoulos, Anastasios/0000-0003-1841-6461
dc.authoridKourtessis, Pandelis/0000-0003-3392-670X
dc.authoridChatzinotas, Symeon/0000-0001-5122-0001
dc.authorwosidElbir, Ahmet M./X-3731-2019
dc.authorwosidChatzinotas, Symeon/D-4191-2015
dc.contributor.authorPapazafeiropoulos, Anastasios
dc.contributor.authorPan, Cunhua
dc.contributor.authorElbir, Ahmet
dc.contributor.authorKourtessis, Pandelis
dc.contributor.authorChatzinotas, Symeon
dc.contributor.authorSenior, John M.
dc.date.accessioned2021-12-01T18:50:33Z
dc.date.available2021-12-01T18:50:33Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis letter suggests the use of multiple distributed intelligent reflecting surfaces (IRSs) towards a smarter control of the propagation environment. Notably, we also take into account the inevitable correlated Rayleigh fading in IRS-assisted systems. In particular, in a single-input and single-output (SISO) system, we consider and compare two insightful scenarios, namely, a finite number of large IRSs and a large number of finite size IRSs to show which implementation method is more advantageous. In this direction, we derive the coverage probability in closed-form for both cases contingent on statistical channel state information (CSI) by using the deterministic equivalent (DE) analysis. Next, we obtain the optimal coverage probability. Among others, numerical results reveal that the addition of more surfaces outperforms the design scheme of adding more elements per surface. Moreover, in the case of uncorrelated Rayleigh fading, statistical CSI-based IRS systems do not allow the optimization of the coverage probability.en_US
dc.identifier.doi10.1109/LWC.2021.3077991
dc.identifier.endpage1726en_US
dc.identifier.issn2162-2337
dc.identifier.issn2162-2345
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85105867380en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1722en_US
dc.identifier.urihttps://doi.org/10.1109/LWC.2021.3077991
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10893
dc.identifier.volume10en_US
dc.identifier.wosWOS:000682125800027en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Wireless Communications Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRayleigh channelsen_US
dc.subjectSignal to noise ratioen_US
dc.subjectCorrelationen_US
dc.subjectProbabilityen_US
dc.subjectManganeseen_US
dc.subjectOptimizationen_US
dc.subjectFinite element analysisen_US
dc.subjectIntelligent reflecting surface (IRS)en_US
dc.subjectcoverage probabilityen_US
dc.subjectdeterministic equivalentsen_US
dc.subjectbeyond 5G networksen_US
dc.subjectIntelligent Surfacesen_US
dc.titleCoverage Probability of Distributed IRS Systems Under Spatially Correlated Channelsen_US
dc.typeArticleen_US

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