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This paper proposes a novel graph theoretic matching algorithm to model the dynamic channel allocation problem in cognitive radio networks. In the past, no research work has considered both the channels and the user request priorities in the context of spectrum allocation. This paper defines a unique model to assign priorities among the channels in a spectrum based on the transmission power allowed in each channel to mitigate interference on the licensed primary users. Crisp logic lines categorize requests into distinct priorities based on the user requirements. These prioritized channels and user requests then constitute the set of vertices V of a bi-partite graph G = (V; E), whose set of edges E represent the communication links between the channels and the users.
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