A Two-Tier Market for Decentralized Dynamic Spectrum Access in Cognitive Radio Networks
Market mechanisms have been exploited as important means for spectrum acquisition and access in cognitive radio networks. In this paper, the authors propose a two-tier market for decentralized dynamic spectrum access. In the proposed Tier-1 market, spectrum is traded from a Primary User (PU) to Secondary Users (SUs) in a relatively large time scale to reduce signaling overhead. Then driven by dynamic traffic demands, SUs set up the Tier-2 market to redistribute channels among themselves in a small time scale. More specifically, they use Nash bargain game to model the spectrum acquisition of SUs in the Tier-1 market and derive the equilibrium prices.