Multi-band spectrum auction framework based on location information in cognitive radio networks

Cognitive radio (CR) technology is considered to be an effective solution to allocate spectrum resources, whereas the primary users of a network do not fully utilize available frequency bands. Spectrum auction framework has been recognized as an effective way to achieve dynamic spectrum access. From the perspective of spectrum auction, multi-band multi-user auction provides a new challenge for spectrum management. This paper proposes an auction framework based on location information for multi-band multi-user spectrum allocation. The performance of the proposed framework is compared with that of traditional auction framework based on a binary interference model as a benchmark. Simulation results show that primary users will obtain more total system revenue by selling their idle frequency bands to secondary users and the spectrum utilization of the proposed framework is more effective and fairer.