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Effective operation of cognitive radios (CRs) requires sensing the spectrum and dynamic adaptation of the available resources according to the sensed information. Although sensing and resource allocation are coupled, most existing designs optimize each of the tasks separately. This work optimizes them jointly for an underlay CR paradigm. The formulation considers that secondary users adapt their power...
Efficient design of cognitive radios requires secondary users implementing adaptive resource allocation schemes that exploit knowledge of the channel state information (CSI), and limit interference to the primary system. In this paper, stochastic resource allocation algorithms are developed for underlay cognitive radios to maximize the sum-rate of secondary users while adhering to “average power”...
Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowledge 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 “probability...
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