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Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective - MaRDI portal

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Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective

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Publication:6217217

arXiv1001.3187MaRDI QIDQ6217217

Author name not available (Why is that?)

Publication date: 18 January 2010

Abstract: This article provides an overview of the state-of-art results on communication resource allocation over space, time, and frequency for emerging cognitive radio (CR) wireless networks. Focusing on the interference-power/interference-temperature (IT) constraint approach for CRs to protect primary radio transmissions, many new and challenging problems regarding the design of CR systems are formulated, and some of the corresponding solutions are shown to be obtainable by restructuring some classic results known for traditional (non-CR) wireless networks. It is demonstrated that convex optimization plays an essential role in solving these problems, in a both rigorous and efficient way. Promising research directions on interference management for CR and other related multiuser communication systems are discussed.












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