A repeated Bayesian auction game for cognitive radio spectrum sharing scheme

Due to the remarkable growth in the number of users and the limited spectrum resource, an efficient spectrum sharing scheme is very important and has been an active area of research over the years. Auction model is a rich mathematical tool and widely used to solve the spectrum allocation problem in cognitive radio networks. In this paper, a new spectrum sharing scheme is proposed based on the repeated auction model. In the proposed scheme, users adaptively decide their prices by using the Bayesian game approach and share spectrum bands based on the double auction protocol. According to a distributed control manner, the proposed scheme is dynamic and flexible that can adaptively respond to current system conditions. With a simulation study, it is confirmed that the effective solution of spectrum sharing is achieved under widely diverse system environments.