Age of information and success probability analysis in hybrid spectrum access-based massive cognitive radio networks

dc.contributor.authorOkegbile, S.D. (Samuel)
dc.contributor.authorMaharaj, Bodhaswar Tikanath Jugpershad
dc.date.accessioned2021-08-26T13:31:23Z
dc.date.available2021-08-26T13:31:23Z
dc.date.issued2021-02
dc.description.abstractIn this paper, we investigate users’ performance under the hybrid spectrum access model in the massive cognitive radio network (CRN), where multiple primary users (PUs) and secondary users (SUs) transmit on the same channel simultaneously. SUs first detect the state of the channel via channel sensing and select an appropriate channel access scheme (either underlay or overlay) for their transmissions based on the outcome of the channel sensing. When at least one PU is active, SUs transmit under the underlay channel access scheme by employing the power control technique to ensure that the interference generated in the primary network is below the pre-defined interference threshold. In the absence of PU, SUs transmit with full transmit power under the overlay channel access scheme, thereby maximizing their throughput. Using the tool of stochastic geometry, we obtained tractable analyses for important metrics such as success probability, throughput, and the average age of information (AoI) in both primary and secondary networks, while capturing the interference between the two networks. The obtained analyses offer an efficient way to understand the metrics of AoI, throughput and success probability in the hybrid spectrum access-based CRN. We further compared users’ performance under the hybrid spectrum access scheme with performances under overlay and underlay spectrum access schemes. The outcome of the numerical simulations shows that the hybrid spectrum access scheme can significantly improve the performance of users in the network, while also capturing more key features of real-life systems.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianpm2021en_ZA
dc.description.sponsorshipThe SENTECH Chair in Broadband Wireless Multimedia Communications (BWMC), Department of Electrical, Electronics, and Computer Engineering, University of Pretoria, South Africa.en_ZA
dc.description.urihttp://www.mdpi.com/journal/applscien_ZA
dc.identifier.citationOkegbile, S.D.; Maharaj, B.T. Age of Information and Success Probability Analysis in Hybrid Spectrum Access-Based Massive Cognitive Radio Networks. Applied Sciences 2021, 11, 1940. https://doi.org/10.3390/app11041940.en_ZA
dc.identifier.issn2076-3417 (online)
dc.identifier.other10.3390/app11041940
dc.identifier.urihttp://hdl.handle.net/2263/81516
dc.language.isoenen_ZA
dc.publisherMDPIen_ZA
dc.rights© 2021 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 (https:// creativecommons.org/licenses/by/ 4.0/).en_ZA
dc.subjectHybrid spectrum access modelen_ZA
dc.subjectStochastic geometryen_ZA
dc.subjectThroughputen_ZA
dc.subjectCognitive radio network (CRN)en_ZA
dc.subjectAge of information (AoI)en_ZA
dc.titleAge of information and success probability analysis in hybrid spectrum access-based massive cognitive radio networksen_ZA
dc.typeArticleen_ZA

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