Dynamic Spectrum Access and Power Allocation for Cooperative Cognitive Radio Networks

Abstract

In the existing cooperative cognitive radio, primary users are generally assumed to be more than capable of supporting their target throughput, thereby the rate enhancement or the cooperation from secondary users actually has less attraction to primary users. Instead, they might be more interested in the benefits in other format. This paper presents a new cooperative cognitive radio framework, where primary users are willing to cooperatively relay data for secondary users with their under-utilized resource to earn the revenue. An auction model with multiple auctioneers, multiple bidders and hybrid divisible/indivisible commodities is proposed to solve channel bands and cooperative transmit power competitions among secondary users. For maximizing the utility, secondary users can select receiving primary user's assistance (i.e., work in cooperative transmission mode) and purchase both spectrum and power from the primary user, or select direct transmission mode and just buy spectrum from the primary user. Then, the convergence of the proposed auction scheme to a Walrasian equilibrium is mathematically proved. Finally, the performance of the proposed scheme is verified by the simulation results.