Abstract
This paper investigates the application of game theory tools in the context of cognitive radio networks (CRN). Specifically, we propose a resource management strategy with the objective to maximize a defined utility function subject to minimize the mutual interference caused by secondary users (SUs) with protection for primary users (PUs). In fact, we formulate a utility function to reflect the needs of PUs by verifying the outage probability constraint, and the per-user capacity by satisfying the signal-to-noise and interference ratio (SNIR) constraint, as well as to limit interference to PUs. Furthermore, the existence of the Nash equilibrium of the proposed game is established, as well as its uniqueness under some sufficient conditions. Theoretical and simulation results based on a realistic network setting, and a comparison with a previously published resource management method are provided in this paper. The reported results demonstrate the efficiency of the proposed technique in terms of CRN deployment while maintaining quality-of-service (QoS) for the primary system.
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Acknowledgements
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement SACRA (Spectrum and energy efficiency through multi-band cognitive radio) n°249060, and was partially supported by the Hassan II Foundation for the Moroccans residing abroad. Parts of this paper were presented at ICMCS 2011 [27].
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Zayen, B., Hayar, A. & Noubir, G. Game theory-based resource management strategy for cognitive radio networks. Multimed Tools Appl 70, 2063–2083 (2014). https://doi.org/10.1007/s11042-012-1211-0
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DOI: https://doi.org/10.1007/s11042-012-1211-0