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dc.contributor.authorVološin, Marcel
dc.contributor.authorŠlapak, Eugen
dc.contributor.authorGazda, Juraj
dc.contributor.editorSteinberger, Josef
dc.contributor.editorZíma, Martin
dc.contributor.editorFiala, Dalibor
dc.contributor.editorDostal, Martin
dc.contributor.editorNykl, Michal
dc.date.accessioned2017-10-09T12:08:03Z
dc.date.available2017-10-09T12:08:03Z
dc.date.issued2017
dc.identifier.citationSTEINBERGER, Josef ed.; ZÍMA, Martin ed.; FIALA, Dalibor ed.; DOSTAL, Martin ed.; NYKL, Michal ed. Data a znalo sti 2017: sborník konference, Plzeň, Hotel Angelo 5. - 6. října 2017. 1. vyd. Plzeň: Západočeská univerzita v Plzni, 2017, s. 181-186. ISBN 978-80-261-0720-0.cs
dc.identifier.isbn978-80-261-0720-0
dc.identifier.urihttps://www.zcu.cz/export/sites/zcu/pracoviste/vyd/online/DataAZnalosti2017.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26360
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectmodelování na základě agentůcs
dc.subjectkognitivní sítěcs
dc.subjectelektronické trhycs
dc.subjectMASCEMcs
dc.titleThe agent-based model of the dynamic spectrum access networks based on the bilateral bargainingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper describes a simple bargaining mechanism that allows au-tonomous agents to engage in a bargaining decisions taking place in the dynam-ic spectrum access market. The agents take on the role of operators which aims to purchase the frequency spectra on the wholesale market and in turn, provide the services towards the end-users. In the paper, the wholesale distribution of the resources in the agent-based model is governed by the bilateral bargaining between the operators and the spectrum broker. The aim of such an interaction is to reach agreements (agreement in terms of the negotiated wholesale price and number of contracted channels) through an iterative bargaining. The opera-tors aim to attract the end-users via dynamic retail pricing scheme. The activity of the end-users follows the truncated Gaussian distribution, which mimics the activity of the end-users throughout the daily cycle. The numerical results sug-gest that the model is capable of capturing the stochastic activity of the end-users, which reflects itself in the variable operator's profit and retail price.en
dc.subject.translatedagent-based modelingen
dc.subject.translatedcognitive networksen
dc.subject.translatedelectronic marketsen
dc.subject.translatedMASCEMen
dc.type.statusPeer-revieweden
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Data a znalosti 2017

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