In an underlay Cognitive Radio Network, multiple secondary users coexist geographically and spectrally with multiple primary users under a constraint on the maximum received interference power at the primary receivers. Given such a setting, one may ask "how to achieve maximum utility benefit at the secondary users given the imposed interference temperature constraint"? In an attempt at answering this question, we introduce a measure of the marginal secondary utility per unit primary interference (termed as relative rate utility) and propose a distributed algorithm that tries to maximize this measure. We present selected computer based Monte-Carlo simulation results, demonstrating the effectiveness of the introduced measure, and the improved performance of the proposed algorithm.
Ieee International Symposium on Personal, Indoor, and Mobile Radio Communications Workshops, 2012, p. 136-142
cognitive radio network; Distributed resource allocation; interference pricing; power control