Zobrazit minimální záznam

dc.contributor.authorNguyen, Tan N.
dc.contributor.authorTran, Minh
dc.contributor.authorHa, Duy-Hung
dc.contributor.authorNguyen, Thanh-Long
dc.contributor.authorVozňák, Miroslav
dc.date.accessioned2019-03-19T12:50:51Z
dc.date.available2019-03-19T12:50:51Z
dc.date.issued2019
dc.identifier.citationProceedings of the Estonian Academy of Sciences. 2019, vol. 68, issue 1, p. 111-123.cs
dc.identifier.issn1736-6046
dc.identifier.issn1736-7530
dc.identifier.urihttp://hdl.handle.net/10084/134255
dc.description.abstractFull-duplex transmission is a promising technique to enhance the capacity of communication systems. In this paper, we propose and investigate the system performance of an energy harvesting based two-way full-duplex relaying network over a Rician fading environment. Firstly, we analyse and demonstrate the analytical expressions of the achievable throughput, outage probability, optimal time switching factor, and symbol error ratio of the proposed system. In the second step, the effect of various parameters of the system on its performance is presented and investigated. In the final step, the analytical results are also demonstrated by Monte Carlo simulation. The numerical results proved that the analytical results and the simulation results agreed with each other.cs
dc.language.isoencs
dc.publisherEstonian Academy Publisherscs
dc.relation.ispartofseriesProceedings of the Estonian Academy of Sciencescs
dc.relation.urihttps://doi.org/10.3176/proc.2019.1.11cs
dc.rights© 2019 Authors. This is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International License.cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/cs
dc.subjectfull duplexcs
dc.subjectthroughputcs
dc.subjectoutage probabilitycs
dc.subjectwireless energy harvestingcs
dc.subjectsymbol error ratiocs
dc.titleEnergy harvesting based two-way full-duplex relaying network over a Rician fading environment: performance analysiscs
dc.typearticlecs
dc.identifier.doi10.3176/proc.2019.1.11
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume68cs
dc.description.issue1cs
dc.description.lastpage123cs
dc.description.firstpage111cs
dc.identifier.wos000458878900011


Soubory tohoto záznamu

Tento záznam se objevuje v následujících kolekcích

Zobrazit minimální záznam

© 2019 Authors. This is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International License.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2019 Authors. This is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International License.