Adaptive Intelligent Cooperative Spectrum Sensing In Cognitive Radio
This addresses spectrum efficiency for cognitive radio users, but it is incremental as it applies an existing method (neural networks) to a known bottleneck in this domain.
The paper tackles the problem of interference in cooperative spectrum sensing for cognitive radio due to non-stationary channels and multipath fading, proposing a neural network-based method that significantly improves performance over traditional AND, OR, and Majority rules.
Radio Spectrum is most precious and scarce resource and must be utilized efficiently and effectively. Cognitive radio is the promising solutions for the optimum utilization of the scared natural resource. The spectrum owned by the primary user should be shared among the secondary user, but primary user should not be interfered by the secondary user. In order to utilize the primary user spectrum, secondary user must detect accurately, the existence of primary in the band of interest. In cooperative spectrum sensing, the channel between the secondary users and the cognitive radio base station is non stationary and causes interference in the decision in decision fusion and in information in information due to multipath fading. In this paper neural network based cooperative spectrum sensing method is proposed, the performance of proposed method is evaluated and observed that, the neural network based scheme performance improve significantly over the AND,OR and Majority rule