Paper Title
Cost Dominated Congestion Control in Spectrum Sharing Cognitive Radio Networks

Abstract
The increased demand of scarce bandwidth resources in wireless networks may result in poor communication and congestion. In Cognitive Radio networks, an efficient resource sharing approach is a pivotal issue for cognitive radio users (secondary users). The users compete to avail best suitable channel in a selfish manner that may result in excessive interference causing degradation in Quality of Service within the network. This paper addresses the selfish behavior of Cognitive Radios as well as the congestion on the available spectrum using game theoretic approach. In order to mitigate the effects of selfish behavior, it is interesting to apply cooperative game and improve spectrum sharing. The equilibrium of cooperative congestion game is considered socially optimal if and only if the cost of players can be interpreted as a negative function. This leads to the ultimate minimization of aggregate cost shown as the maximization of a global function of the network. The cost dominance is considered as an influencing factor for CRs to cooperate.The simulation results show the convergence of utility and achieving Nash equilibrium at a desirable point. Keywords - Cognitive Radio, Cooperative Congestion Game, Spectrum Sharing, Waveform Adaptation, Nash Equilibrium