Optimal Solution for Spectrum Sensing in Cognitive Radio Networks

This paper proposes optimal solution for spectrum sensing using genetic algorithm approach in 5G broadband wireless networks. In this approach, fitness values for primary users are evaluated based upon the information about signal strength and noise level received by secondary users. Our focus in this paper is to evaluate the fitness value, which will help in detecting the white spaces efficiently and to accommodate secondary users, without interfering primary users. Our simulation results have shown that, genetic algorithm approach, can detect optimal energy level of primary user who is inactive in network, faster and accurate. Problems of false alarm detection and missed alarm detection could be solved and radio spectrum could be utilized efficiently and maximum.