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dc.contributor.authorLe, Anh-Tu
dc.contributor.authorNguyen, Tan N.
dc.contributor.authorTu, Lam-Thanh
dc.contributor.authorTran, Tin-Phu
dc.contributor.authorDuy, Tran Trung
dc.contributor.authorVozňák, Miroslav
dc.contributor.authorDing, Zhiguo
dc.date.accessioned2024-11-14T13:13:27Z
dc.date.available2024-11-14T13:13:27Z
dc.date.issued2024
dc.identifier.citationIEEE Wireless Communications Letters. 2024, vol. 13, issue 3, p. 791-795.cs
dc.identifier.issn2162-2337
dc.identifier.issn2162-2345
dc.identifier.urihttp://hdl.handle.net/10084/155298
dc.description.abstractThe requirements for facilitating spectral efficiency and energy efficiency become increasing important for future wireless networks. Ambient backscatter communication (AmBC) has recently been recognized as a technology to meet these requirements. Furthermore, reconfigurable intelligent surfaces (RISs) have recently emerged as an effective technology to ameliorate the performance of wireless communications. Motivated by these, this letter investigates the channel characterization and the performance of the RIS-assisted AmBC system. Particularly, we derive the closed-form expressions of the outage probability (OP) and average symbol error rate (ASER) of the considered system. To gain insight into the systems, the asymptotic OP and diversity order are obtained too. Monte Carlo simulations are employed to verify our obtained analytical result. Our findings unveil that the performance of the RIS-assisted AmBC systems is significantly better than that of the conventional AmBC system.cs
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofseriesIEEE Wireless Communications Letterscs
dc.relation.urihttps://doi.org/10.1109/LWC.2023.3344113cs
dc.rightsCopyright © 2024, IEEEcs
dc.subjectambient backscatter communicationcs
dc.subjectaverage symbol error ratecs
dc.subjectoutage probabilitycs
dc.subjectreconfigurable intelligent surfacecs
dc.titlePerformance analysis of RIS-assisted ambient backscatter communication systemscs
dc.typearticlecs
dc.identifier.doi10.1109/LWC.2023.3344113
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume13cs
dc.description.issue3cs
dc.description.lastpage795cs
dc.description.firstpage791cs
dc.identifier.wos001184396700019


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