Dynamic Auction for Revenue Maximization in Spectrum Market

The paradigm of spectrum trading has spontaneously prompted a wide interest in spectrum market where licensed users (primary users, PUs) aim at efficiently share spectrum with unlicensed users (secondary users, SUs). SUs pay PUs for radio resource usage. Spectrum pricing plays a pivotal role towards the success of spectrum trading. Most of the existing pricing schemes neglect service guarantees. Furthermore, they use static pricing scheme where the price cannot respond quickly to the changes in the spectrum market. To overcome these problems, we design dynamic auction where spectrum is periodically auctioned off to meet SUs demands over time. Our scheme determines the size of spectrum to be auctioned for each session. Performance evaluation of the proposed scheme shows the ability of our scheme to maximize the reported revenue for the PU under different spectrum market conditions.