Spectrum aggregation and allocation based on shuffled frog leaping algorithm for cognitive radio networks

In this paper, we study a spectrum allocation mechanism of Cognitive Radio Networks based on multi-backpack problem, and then propose a discrete hybrid leapfrog algorithm and a spectrum allocation method based on this algorithm. This algorithm uses the integer coding method and designs the corresponding algorithm search strategy, using the crossover and mutation operator to improve the algorithm performance. Finally, the algorithm is compared with the traditional binary hybrid leapfrog algorithm and the dynamic programming algorithm. The results show that under the principle of maximizing the spectrum utilization and maximizing the network capacity, the proposed spectrum backpacking allocation method has better performance and can find a better spectrum backpack distribution scheme, thus improving the spectrum utilization rate.