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Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets

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Multi-Agent Systems and Agreement Technologies (EUMAS 2016, AT 2016)

Abstract

We present the agent-based model of the real-time spectrum trading market. Real-time means that the frequency spectrum is allocated to the operators in real-time and thus, the capacities of the operators are dynamically varying. The agent-based model consists of the two levels. The first level (the wholesale market) deals with the spectrum distribution towards the operators, where the operators compete for the spectrum resources. The second level (the retail market) presents the place where the operators compete with each-other to provide their services to the end-users. In our model, the operators are assumed to be heterogeneous in terms of the quality of service (QoS) perception. The heterogeneity of the operators exists due to the different placement of their base-stations (BTSs) in the investigated region. The BTS in the middle of the region is naturally favored, because of the unique spectral efficiency it provides to the end-users. We numerically analyze the volumes of the frequency spectra purchased by the operators, average revenue and the retail price of the operators under the consideration of three different pricing mechanisms.

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Acknowledgments

This work was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic under the contract No. 1/0766/14. This work was also supported by the Slovak Research and Development Agency, project number APVV-15-0055 and by European intergovernmental framework COST Action CA15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice.

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Correspondence to Marcel Vološin .

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Vološin, M., Gazda, J., Drotár, P., Bugár, G., Gazda, V. (2017). Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2016 2016. Lecture Notes in Computer Science(), vol 10207. Springer, Cham. https://doi.org/10.1007/978-3-319-59294-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-59294-7_18

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