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

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

2010-01-19

arxiv.org/abs/1001.3187v1

Computer Science

Information Theory

to appear in IEEE Signal Processing Magazine, special issue on convex optimization for signal processing

Scientific paper

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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