Radio spectrum management for cognitive radio based on fuzzy neural methodology

Abstract

According to the limited available spectrum and the inefficiency in the spectrum usage, a fuzzy neural network based system for Cognitive Radio is proposed to implement the spectrum sense. Parameters like signal strength, node velocity and distance are transmitted as inputs through the fuzzy logic dispose and reinforcement learning, and the decision is taken whether to take up the unused spectrum. The system is less complex and consumes little time, and the results are consistent with the theory. The system can be simulated for dynamic spectrum management, and be implemented in real environment.