Interference avoidance algorithm based on game theory in CR system
Zhou Ping Wu · Journal of Communications · 2008
Game theory was proposed into the interference avoidance algorithm in the multi-antenna cognitive radio system. Global mutual information was constructed as utility function and genetic algorithm was adopted to obtain Nash equilibrium, which ensured the global optimum of the iterative results. Simulation showed this algorithm could overcome the dependent and interactive characters among systems. It could maximize the global mutual information and did not cause interactive circulation between users and reduced system bit error rate and improved the whole performance of system.