Learning and Decision Making With Negative Externality for Opportunistic Spectrum Access
In cognitive radio networks, Secondary Users (SUs) are allowed to opportunistically exploit the licensed channels by sensing Primary Users' (PUs) activities. Once finding the spectrum holes, SUs generally need to share the available licensed channels. Therefore, one of the critical challenges for fully utilizing the spectrum resources is how the SUs obtain accurate information about the PUs' activities and make right decisions of accessing channels to avoid competition from other SUs. In this paper, the authors formulate SUs' learning and decision making process as a Chinese Restaurant Game by considering the scenario where SUs sense channels simultaneously and make access decisions sequentially.