Abstract
This paper proposes a new spectrum allocation scheme based on detection probability of cognitive users. This new scheme takes a look at a cognitive radio network system composed of one primary system with several cognitive users which is combined with game theory to compensate the detection cost through detection probability. Nash Equilibrium (NE) was used to determine the cost based on the detection probability. Outcomes data revealed that in the utility function of the game, NE was stable through price adjustment. The findings shows that NE is related to the detection probability and the higher the detection probability, the more spectrum resources are in dynamic allocation and thus the higher the quality communication services for the user will gained, thus the detection cost influences the quality of the system. Finally a comparison was made between NE and Pareto Optimality to look at the necessity and conditions of possible conversion from NE to Pareto Optimality.
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Anghuwo, A.A., Liu, Y., Tan, X., Liu, S. (2011). Spectrum Allocation Based on Game Theory in Cognitive Radio Networks. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_1
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DOI: https://doi.org/10.1007/978-3-642-19853-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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