A Spectrum Allocation Strategy for Cognitive Radio Network
Si Shuai · Communications technology · 2011
Spectrum allocation is the key technology for cognitive radio,the algorithm for spectrum allocation must converge rapidly,thus to adapt itself to the cognitive radio system.A spectrum allocation strategy for cognitive radio network based on Kuhn-Munkras algorithm under the a interference temperature model is proposed in this paper.This strategy utilizes the characteristic of Kuhn-Munkras algorithm achieves the optimal matching and obtains convergence rapidly,thus realizing optimal matching between secondary users and vacant channels according to the different benefits that secondary users yield on different channels.Simulation result indicates that the spectrum allocation based on Kuhn-Munkras outperforms conventional matching algorithm and greedy algorithm.