Cognitive radio spectrum allocation algorithm based on licensed user activities

By taking into consideration the influence of the handoff probability of licensed user's working states on the spectrum allocation in cognitive radio (CR) networks, this paper proposes a new cognitive radio spectrum allocation algorithm. In the algorithm, based on the definition of income expectation, two new utility functions are pre-sented from the perspective of probability, which respectively reflect the total average channel income expectation and the fairness of the income expectation of cognitive systems. Then, some specific steps of the proposed algorithm are provided. Simulation results show that, as compared with the traditional channel allocation algorithms, the proposed algorithm has an obvious advantage in terms of the total spectrum utilization in the cognitive system; and that it displays excellent system fairness when the licensed user's working states frequently change, which means that the proposed algorithm is of more practical significance.