Abstract
Cognitive radio (CR) has been recently proposed as a promising technology to achieve efficient use of the frequency resources by allowing the coexistence of primary users (PUs) and secondary users (SUs) in the same frequency band. In this paper, a joint beamforming and power allocation algorithm based on game theory is proposed for cognitive MIMO systems. The objective is to maximize the sum rate of SUs subject to the transmit power constraint and the PU interference constraint. The design of the cognitive system is formulated as a non-cooperative game, where the SUs compete with each other over the resources made available by the PUs. Nash equilibrium is considered as the solution of this game. Simulation results show that the proposed algorithm can converge to a locally optimal pair of power vector and beamforming vector.
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Zhao, F., Li, B., Chen, H. (2012). Joint Beamforming and Power Allocation Algorithm for Cognitive MIMO Systems via Game Theory. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_14
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DOI: https://doi.org/10.1007/978-3-642-31869-6_14
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