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A dynamic spectrum access scheme for cognitive radio networks

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Publication date2009
Host publicationElectrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
Place of PublicationNEW yORK
PublisherIEEE
Pages450-454
Number of pages5
ISBN (electronic)978-1-4244-3508-1
ISBN (print)978-1-4244-3509-8
<mark>Original language</mark>English
Event22nd IEEE Canadian Conference on Electrical and Computer Engineering - St Johns
Duration: 3/05/20096/05/2009

Conference

Conference22nd IEEE Canadian Conference on Electrical and Computer Engineering
CitySt Johns
Period3/05/096/05/09

Conference

Conference22nd IEEE Canadian Conference on Electrical and Computer Engineering
CitySt Johns
Period3/05/096/05/09

Abstract

In this paper, the dynamic spectrum access problem for cognitive radio (CR) networks is formulated as maximizing the sum channel capacity while satisfying the power budgets of individual secondary user radios as well as the SINR constraints on both the secondary and primary users. By applying the Karush-Kuhn-Tucker theorem, we derive a water-filling soluton. An iterative water-filling algorithm is proposed for implementing joint channel and power allocation in a dynamically changing set of available channels. The proposed algorithm has a complexity that increases linearly with both the number of channels and the number of users.