Social Spider Algorithm-based Spectrum Allocation Optimization for Cognitive Radio Networks

摘要

In recent years, applying intelligent algorithms in solving hard problems has become a favorite topic in next generation networking research. Although classical methods have achieved many important outcomes, this new trend promises significant results. This paper addresses the spectrum allocation problem in Cognitive Radio Networks (CRN), in which we proposed a new solution based on Social Spider Algorithm (SSA) to search for the optimal allocation scheme. The numerical results prove the superior of our approach in comparison to other methods.