Efficient power allocation for cognitive radio NOMA using game-theoretic based pricing strategy

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dc.authorid0000-0002-6268-6293
dc.authorid0000-0001-9474-7372
dc.contributor.authorAbidrabbu, Shaima’ S.
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2021-09-06T07:48:34Z
dc.date.available2021-09-06T07:48:34Z
dc.date.issued2021
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractCognitive radio-based non-orthogonal multiple access (CR-NOMA) is considered to be one of the promising multiple accessing technique candidates for 5G and beyond networks. These networks are facing a lot of challenges to achieve high spectral efficiency, low latency, and massive connectivity. Interference management and efficient power allocation are highly interesting among the researchers to investigate in CR-NOMA networks. This paper studies the power allocation of underlay CR-NOMA network using game theory approach by conducting the pricing technique to achieve efficient power allocation and minimum interference. In particular, the game is formulated, and its solution is achieved by exploring the suboptimal solution represented by the Pareto-efficiency of the Nash equilibrium point. The simulation results show the superiority of the proposed scheme in achieving higher spectral efficiency, fairness index, and sum utilities of secondary users compared to existing schemes.
dc.description.sponsorshipHuaweien_US
dc.description.sponsorshipNokiaen_US
dc.identifier.citationAbidrabbu, S.’ S. ve Arslan, H. (2021). Efficient power allocation for cognitive radio NOMA using game-theoretic based pricing strategy. IEEE 93rd Vehicular Technology Conference (VTC-Spring), 25-28 April 2021. https://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448851
dc.identifier.doi10.1109/VTC2021-Spring51267.2021.9448851
dc.identifier.isbn9781728189642
dc.identifier.issn1550-2252
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448851
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE 93rd Vehicular Technology Conference (VTC-Spring)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCapacity
dc.subjectCR-NOMA
dc.subjectGame Theory
dc.subjectPower Allocation
dc.subjectPricing
dc.subjectSpectrum Utilization
dc.titleEfficient power allocation for cognitive radio NOMA using game-theoretic based pricing strategy
dc.typeConference Object

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