Spectrum trading for risky environments in IEEE 802.22 cognitive networks

In this paper, we consider the shared used model in the context of IEEE 802.22 cognitive and investigate spectrum trading via auction approach. We consider two different scenarios in which the dominant risk is either associated with imperfect spectrum sensing or the uncertainties in the environment. Taking into account these risks, we propose a bidding strategy for sealed-bid first-price auction. Our numerical results demonstrate significant revenue increases in comparison to the conventional auction methods in risky environments.