Primary User Activity Based Channel Allocation in Cognitive Radio Networks

Channel allocation in cognitive radio networks completely determines the realizability and efficiency of cognitive radio since it is the final step before the cognitive subscribers can use the spectrum holes. In this paper, we consider channel allocation in cognitive radio networks as a resource allocation problem under the circumstance that the allocation of transmission rate, link and transmission power for secondary users are restricted. And considering the impact of primary user activity on available channels originally, we formulate such resource allocation problem as a binary integer optimal programming, and then we design two algorithms to solve this problem and compare their performances.Finally, numerical results show that the proposed channel allocation model and strategies are quite feasible.