Statistical spectrum analysis and allocation in cognitive radio networks

The bandwidth of spectrum holes is time-varied in cognitive radio networks with dynamic spectrum environment, which leads to the traditional static spectrum allocation poor performance. To solve this issue, this paper derives the probability density function of bandwidth of spectrum holes and presents a novel spectrum allocation algorithm based on the stochastic multiple knapsack problem. Simulation results illustrate that the proposed algorithm can achieve a better performance than the existing algorithms when the bandwidth of spectrum holes is time-varied.