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Dynamic spectrum management can drastically improve the performance of wireless networks struggling under increasing user demands. However, performing efficient spectrum allocation is a complex and difficult process. Current proposals make the problem tractable by simplifying interference constraints as conflict graphs, but they face potential performance degradation from inaccurate interference estimation. In this paper, the authors show that conflict graphs, if optimized properly, can produce spectrum allocations that closely match those derived from the physical interference model. Thus they propose PLAN, a systematic framework to produce conflict graphs based on physical interference characteristics.
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