Title: The agent-based model of the dynamic spectrum access networks based on the bilateral bargaining
Authors: Vološin, Marcel
Šlapak, Eugen
Gazda, Juraj
Citation: STEINBERGER, 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.
Issue Date: 2017
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: https://www.zcu.cz/export/sites/zcu/pracoviste/vyd/online/DataAZnalosti2017.pdf
ISBN: 978-80-261-0720-0
Keywords: modelování na základě agentů;kognitivní sítě;elektronické trhy;MASCEM
Keywords in different language: agent-based modeling;cognitive networks;electronic markets;MASCEM
Abstract in different language: This 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.
Rights: © Západočeská univerzita v Plzni
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Data a znalosti 2017

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