Zobrazit minimální záznam

dc.contributor.authorLe, Chi-Bao
dc.contributor.authorDo, Dinh-Thuan
dc.contributor.authorVozňák, Miroslav
dc.date.accessioned2019-06-11T08:30:29Z
dc.date.available2019-06-11T08:30:29Z
dc.date.issued2019
dc.identifier.citationSensors. 2019, vol. 19, issue 6, art. no. 1293.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/135192
dc.description.abstractIn this paper, a cooperative non-orthogonal multiple access (NOMA) system is studied for the Internet-of-Things (IoT) in which a master node intends to serve multiple client nodes. The adaptive transmission strategy is proposed at the relay node, i.e., the relay can be half-duplex (HD) and/or full duplex (FD). In practical terms, numerous low-cost devices are deployed in such IoT systems and it exhibits degraded performance due to hardware imperfections. In particular, the effects of hardware impairments in the NOMA users are investigated. Specifically, the closed-form expressions are derived for the outage probability. Moreover, the ergodic capacity is also analysed. This study also comparatively analyzes the orthogonal multiple access (OMA) and NOMA with HD and/or FD relaying. The numerical results are corroborated through Monte Carlo simulations.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttps://doi.org/10.3390/s19061293cs
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectnon-orthogonal multiple accesscs
dc.subjectfull duplexcs
dc.subjectoutage probabilitycs
dc.titleExploiting impact of hardware impairments in NOMA: Adaptive transmission mode in FD/HD and application in Internet-of-Thingscs
dc.typearticlecs
dc.identifier.doi10.3390/s19061293
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume19cs
dc.description.issue6cs
dc.description.firstpageart. no. 1293cs
dc.identifier.wos000465520200031


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Zobrazit minimální záznam

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.