Abstract
Based on the Nash equilibrium theory of Bertrand game, energy harvesting is introduced to study the spectrum pricing for the primary user in cognitive radio system, a spectrum allocation method based on the primary user pricing game model under energy harvesting is proposed. Firstly, the energy of the radio-frequency signals belonging to primary users is collected and stored by the relay secondary users to ensure that there is enough energy to transmit the information. Then, a dynamic game is played with the transmission power of the primary users at the channel price to achieve the system profit maximization. Finally, the secondary users purchase the free spectrum and transmit their own information. The simulation results show that the new scheme improves the overall profit and fairness of the system.
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Acknowledgements
This work was supported in part by the Natural Science Foundation of China under Grants 61871133 and in part by the Industry-Academia Collaboration Program of Fujian Universities under Grants 2020H6006.
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Cheng, C., Lin, R., Wang, J., Xie, H. (2022). Spectrum Allocation Algorithm Based on Game Theory Under Energy Harvesting. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 804. Springer, Singapore. https://doi.org/10.1007/978-981-16-6324-6_66
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DOI: https://doi.org/10.1007/978-981-16-6324-6_66
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