Evolutionarily Stable Open Spectrum Access in a Many-Users Regime

In this paper, we consider the open spectrum access mechanism design with both complete and incomplete network information in a many-users regime. We propose an evolutionary spectrum access mechanism with complete network information, and show that the mechanism achieves an equilibrium that is both evolutionarily stable and globally stable. With incomplete network information, we propose a distributed learning mechanism, where each user utilizes local observations to estimate the channel quality and learns to adjust its spectrum access strategy adaptively over time. Numerical results show that the proposed mechanisms achieve efficient spectrum sharing among the users, and are robust to the perturbations of users´ channel selections.