A parallel spectrum allocation algorithm based on bandwidth requirement in cognitive radio networks

Cognitive radio network (CRN) is proposed to solve the problem of the scarce radio spectrum resources. In CRN, primary users (PUs) are allowed to lease out their unused spectrum sharing with cognitive users (CUs). In this paper, we propose a parallel spectrum allocation algorithm based on CUs bandwidth requirement, and the spectrum allocation time is also taken into account. Our objective is to optimize the total spectrum reward under the premise of meeting the CUs' bandwidth needs and save the spectrum allocation time as much as possible. Simulation results indicate that this algorithm can improve the total spectrum reward, the satisfaction rate of CUs and reduce time overhead.