Development of Heuristic Crossover for Optimization of Utility Function in Cognitive Radio
Cognitive radio is another era of remote correspondence framework that empowers unlicensed clients to access underutilized authorized range to improve the radio range use. Cognitive radio is a promising technology for the efficient utilization of spectrum. Performance of cognitive radio can be analyzed by using game theoretic approach. In this paper, cognitive network is modeled by considering primary users and cognitive users as players and the resource allocation problem is formulated as potential game. Nash equilibrium is achieved through the heuristic approach for the utility optimization.
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