Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks
Keywords:cognitive radio networks, spectrum migration, pre-decision aid, interval Mamdani fuzzy inference
This study intends to improve the QoS of SUs and CRNs performance.Â A novel spectrum migration approach based on pre-decision aid and interval MamdaniÂ fuzzy inference is presented. we first define spectrum migration factors as spectrumÂ characteristic metrics for spectrum migration decision. In addition, we use predecisionÂ aid to reduce system complexity and improve spectrum migration efficiency.Â To shorten spectrum migration decision time and seek the optimal spectrum holes,Â interval Mamdani fuzzy inference is put forward. Finally, simulation results show theÂ proposed approach can inhibit the upward trend of service retransmission probabilityÂ and average migration times effectively, and improve the effective utilization of CRNsÂ spectrum resource significantly.
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