Title: Anchored Network Users: Stochastic Evolutionary Dynamics of Cognitive Radio Network Selection,
Abstract: To solve the spectrum scarcity problem, the cognitive radio technology
involves licensed users and unlicensed users. A fundamental issue for the
network users is whether it is better to act as a licensed user by using a
primary network or an unlicensed user by using a secondary network. To model
the network selection process by the users, the deterministic replicator
dynamics is often used, but in a less practical way that it requires each user
to know global information on the network state for reaching a Nash
equilibrium. This paper addresses the network selection process in a more
practical way such that only noise-prone estimation of local information is
required and, yet, it obtains an efficient system performance.