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Stochastic resource allocation for cognitive radio networks based on imperfect state information

Stochastic resource allocation for cognitive radio networks based on imperfect state information,10.1109/ICASSP.2011.5946701,Antonio G. Marques,Georgi

Stochastic resource allocation for cognitive radio networks based on imperfect state information  
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Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowl­ edge of the channel state information in order to limit interference inflicted to primary users. In this context, the present paper develops stochastic resource allocation algorithms maximizing the sum-rate of secondary users while adhering to "average power" and "proba­ bility of interference" constraints. These constraints guarantee that the probability of the secondary network interfering with the primary one stays below a pre-specified level. The optimal schemes turn out to be a function of the quality of the secondary network links, the activity of the primary users, and the associated Lagrange multipli­ ers. The focus is on algorithms that: i) use stochastic approximation tools to estimate the multipliers; and ii) are able to cope with imper­ fections in the information of the primary network state.
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