Reasoning through fuzzy logical for reconfiguration in cognitive radio network

Cognitive radio network(CRN) has a trend of increasingly complicated, dynamic and heterogeneous, which requires an effective management to handle complex multi-domain information and obtain preferable system performance. The reconfiguration of CRN can provide efficient solutions and introduce flexibility adaptation capabilities for complexity management, so that system performance is advanced. This paper studies the fuzzy logical based reconfiguration algorithm of CRN, which is accomplished by introducing the reasoning process in reconfiguration decision making. The fuzzy based reasoning analyzes the relationship among the radio parameters and predicts the system performance so that the relevant reconfiguration decision can be made. Finally, the reconfiguration algorithm is simulated, and the simulation results with detailed analysis are shown to enforce the effectiveness of the proposed algorithms.