Abstract:

A dynamic spectrum access algorithm based on probability density estimation is proposed to estimate the probability density of spectrum idle duration with support vector machines and evaluate the channel states, and cognitive radio users access the channel according to the states. This practicable and flexible algorithm can be adjusted adaptively. Simulation shows that the proposed algorithm will significantly reduces disruptions to primary users and improves the throughout as well as the quality of service of cognitive radio users.

Key words: Dynamic spectrum access, cognitive radio, probability density function estimation, support vector machines