Spatiotemporal characterization of users' experience in massive cognitive radio networks

Show simple item record Okegbile, S.D. (Samuel) Maharaj, Bodhaswar Tikanath Jugpershad Alfa, Attahiru Sule 2020-10-16T11:57:06Z 2020-10-16T11:57:06Z 2020
dc.description.abstract The need to capture the actual network traf c condition and fundamental queueing dynamics in a massive cognitive radio network (CRN) is important for proper analysis of the intrinsic effects of spatial distribution while capturing the essential temporal distribution properties of the network. In massive CRN, many users, including primary and secondary users, transmit on scarce spectrum resources. While primary users (PUs) are delay-sensitive users that require prioritized access over secondary users (SUs), carrying out analysis that captures this property becomes imperative if users' service experience is to be satisfactory. This paper presents priority conscious spatiotemporal analysis capable of characterizing users' experience in massive CRN. Users in the primary priority queue were considered to have pre-emptive priory over users in the virtual and secondary priority queues. A Geo/G/1 discrete-time Markov chain queueing system was adopted to characterize both primary and secondary priority queues, while the virtual priority queue was analyzed as part of the secondary priority queue. Using the tools of stochastic geometry and queueing theory, the user's coverage probability was determined while the delay experienced by each class of users in the network was obtained using existing results. Through the obtained delay for each class of users in the network, the corresponding quality of service was also obtained. The results obtained show that the proposed framework is capable of accurately characterizing users' service experience in massive CRN. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2020 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. & Alfa, A.S. 2020, 'Spatiotemporal characterization of users' experience in massive cognitive radio networks', IEEE Access, vol. 8, pp. 57114-57125. en_ZA
dc.identifier.issn 2169-3536 (online)
dc.identifier.other 10.1109/ACCESS.2020.2981953
dc.language.iso en en_ZA
dc.publisher Institute of Electrical and Electronics Engineers en_ZA
dc.rights This work is licensed under a Creative Commons Attribution 4.0 License. en_ZA
dc.subject Delay en_ZA
dc.subject Service experience en_ZA
dc.subject Spatiotemporal analysis en_ZA
dc.subject Quality of service en_ZA
dc.subject Transmission success en_ZA
dc.subject Cognitive radio network (CRN) en_ZA
dc.title Spatiotemporal characterization of users' experience in massive cognitive radio networks en_ZA
dc.type Article en_ZA

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