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

Show simple item record Okegbile, S.D. (Samuel) Maharaj, Bodhaswar Tikanath Jugpershad 2021-08-26T13:31:23Z 2021-08-26T13:31:23Z 2021-02
dc.description.abstract In 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.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian pm2021 en_ZA
dc.description.sponsorship The SENTECH Chair in Broadband Wireless Multimedia Communications (BWMC), Department of Electrical, Electronics, and Computer Engineering, University of Pretoria, South Africa. en_ZA
dc.description.uri en_ZA
dc.identifier.citation Okegbile, 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. en_ZA
dc.identifier.issn 2076-3417 (online)
dc.identifier.other 10.3390/app11041940
dc.language.iso en en_ZA
dc.publisher MDPI en_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:// 4.0/). en_ZA
dc.subject Hybrid spectrum access model en_ZA
dc.subject Stochastic geometry en_ZA
dc.subject Throughput en_ZA
dc.subject Cognitive radio network (CRN) en_ZA
dc.subject Age of information (AoI) en_ZA
dc.title Age of information and success probability analysis in hybrid spectrum access-based massive cognitive radio networks en_ZA
dc.type Article en_ZA

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