Potential game for joint channel and power allocation in cognitive radio networks

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.