Behavior Propagation in Cognitive Radio Networks
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6697930
This paper examines the interesting behaviors of cognitive radios in networks acting as intelligent agents that are able to communicate with one another and recommend or improve on channels. It also examines the phenomenon of different cliques of cognitive radios that form as a result of these differing recommendations and (what they refer to as collaborative spectrum sensing).
Moreover, they applied concepts like ergodicity (convergence to single or multiple equilibria) as a quantitative measure of behavior propagation, which is particularly relevant to what we have been studying in class. It also raises the point about the importance of network topology when analyzing behavior propagation, as their analysis of a grid topology versus a random deployment of cognitive radios revealed different evolutions of channel preferences (and thus different convergence patterns).