Power Control Method Based on Nash Bargaining Solution for Cognitive Radio Networks
Jiandong Li · Beijing Youdian Xueyuan xuebao · 2009
A power control method for cognitive radio networks(CRN) is investigated in the context of cooperative game theory based on the Nash bargaining solution(NBS). A utility function based on signal-to-interference plus noise(SINR) is proposed for this model.Based on the NBS,the power control method is not only consistent with the fairness axioms of game theory,but also provides the power level of users that are Pareto optimal from the point of view of whole system.Introducing the Lagrange operators,the optimal power levels are achieved,and the SINR threshold requirements are satisfied.Simulations show that our algorithm has a faster convergence speed,and compared to reference traditional method,our algorithm can effectively improve the fairness among multiple cognitive users and the overall performance of the whole cognitive system.