• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Joint Beamforming and Power Allocation for Multiple Primary Users and Secondary Users in Cognitive MIMO Systems via Game Theory

Vol. 7, No.6, June 26, 2013
10.3837/tiis.2013.06.002, Download Paper (Free):

Abstract

We consider a system where a licensed radio spectrum is shared by multiple primary users (PUs) and secondary users (SUs). As the spectrum of interest is licensed to primary network, power and channel allocation must be carried out within the cognitive radio network so that no excessive interference is caused to PUs. For this system, we study the joint beamforming and power allocation problem via game theory in this paper. The problem is formulated as a non-cooperative beamforming and power allocation game, subject to the interference constraints of PUs as well as the peak transmission power constraints of SUs. We design a joint beamforming and power allocation algorithm for maximizing the total throughput of SUs, which is implemented by alternating iteration of minimum mean square error based decision feedback beamforming and a best response based iterative power allocation algorithm. Simulation results show that the algorithm has better performance than an existing algorithm and can converge to a locally optimal sum utility.


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Cite this article

[IEEE Style]
Feng Zhao, Jiayi Zhang and Hongbin Chen, "Joint Beamforming and Power Allocation for Multiple Primary Users and Secondary Users in Cognitive MIMO Systems via Game Theory," KSII Transactions on Internet and Information Systems, vol. 7, no. 6, pp. 1379-1397, 2013. DOI: 10.3837/tiis.2013.06.002

[ACM Style]
Zhao, F., Zhang, J., and Chen, H. 2013. Joint Beamforming and Power Allocation for Multiple Primary Users and Secondary Users in Cognitive MIMO Systems via Game Theory. KSII Transactions on Internet and Information Systems, 7, 6, (2013), 1379-1397. DOI: 10.3837/tiis.2013.06.002