@inproceedings{7ab1bac311fc40acb5baa3a53a7166b5,
title = "A relative rate utility based distributed power allocation algorithm for Cognitive Radio Networks",
abstract = "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.",
keywords = "cognitive radio network, Distributed resource allocation, interference pricing, power control",
author = "Mahmood, {Nurul Huda} and G.E. {\O}ien and L. Lundheim and U. Salim",
year = "2012",
month = dec,
day = "1",
doi = "10.1109/PIMRC.2012.6362560",
language = "English",
isbn = "978-1-4673-2566-0",
series = "I E E E International Symposium Personal, Indoor and Mobile Radio Communications",
pages = "136--142",
booktitle = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",
publisher = "IEEE",
address = "United States",
}