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Presented is a game theoretic solution for joint channel and power allocation in cognitive radio networks. This issue has been previously addressed, but the proposed games assume a global knowledge of the players' strategies, which make the solution not scalable. In contrast, here the problem is formulated as a potential game only requiring local information. The obtained results are compared with a metaheuristic genetic algorithm to show the correctness of the proposal.