Abstract
In this paper, we propose a model for coalition formation among Secondary Base Stations (SBSs) with incomplete information in cognitive radio (CR) networks. This model allows us to analyze any situation in which players are imperfectly informed about the aspect of their environment that is relevant to their decision-making. On the other hand, by using the proposed method based on the game theory with incomplete information, SBSs can collaborate and self-organize into disjoint independent coalitions. The simulation results show that the proposed method yields a performance advantage in terms of the average payoff per SBS reaching up to 145% relative to the non-cooperative case.
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Martyna, J. (2013). Cooperative Games with Incomplete Information among Secondary Base Stations in Cognitive Radio Networks. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_5
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DOI: https://doi.org/10.1007/978-3-642-38577-3_5
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