Performance on Cognitive Broadcasting Networks Employing Fountain Codes and Maximal Ratio Transmission

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dc.contributor.authorNguyen, N.-L.
dc.contributor.authorTu, L.-T.
dc.contributor.authorNguyen, T. N.
dc.contributor.authorNguyen, P.-L. T.
dc.contributor.authorNguyen, Q.-S.
dc.coverage.issue1cs
dc.coverage.volume32cs
dc.date.accessioned2023-10-11T07:07:09Z
dc.date.available2023-10-11T07:07:09Z
dc.date.issued2023-04cs
dc.description.abstractThe comprehensive performance of cognitive broadcasting networks employing Fountain codes (FC) and maximal ratio transmission (MRT) is investigated in the present paper. More precisely, the secondary transmitter (ST) employs Fountain code to effectively broadcast a common message such as a safety warning, security news, etc., to all secondary receivers (SRs) via underlay protocol of cognitive radio networks (CRNs). Different from works in the literature that are interested in studying the outage probability (OP), and the ergodic capacity of the CRNs. The present paper, on the other hand, focuses on the characteristics of the number of needed time slots to successfully deliver such a message. Particularly, we derive in closed-form expressions the cumulative distribution function (CDF), the probability mass function (PMF), and the average number of the required time slot to broadcast the message to all SRs. Additionally, we also provide the throughput of secondary networks (SNs). We point out the impact of some key parameters, i.e., the number of SRs and the number of transmit antennae at the secondary transmitter, on the performance of these considered metrics. Numerical results via the Monte-Carlo method are given to verify the accuracy of the derived framework as well as to highlight the influences of some essential parameters. Furthermore, we also compare the performance of the proposed networks with state-of-the-art and simulation results unveiling that the considered system consistently outperforms works in the literature.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2023 vol. 32, č. 1, s. 1-10. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2023.0001en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/214298
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2023/23_01_0001_0010.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBroadcasting networksen
dc.subjectcognitive radioen
dc.subjectfountain codesen
dc.subjectmaximal ratio transmissionen
dc.subjectperformance analysisen
dc.titlePerformance on Cognitive Broadcasting Networks Employing Fountain Codes and Maximal Ratio Transmissionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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