An Improved Spectrum Sensing for Cognitive Radio Networks with Rayleigh Fading Channel

Cognitive radio devices will be able to sense and dynamically use frequency bands for network access. This will be done by autonomous detection of unoccupied bands in the radio spectrum. Several factors like fading and shadowing affects the ability of the cognitive radio to detect the primary user. The current research shows that cooperation among the cognitive users can increase the detection probability for a given probability of false alarm. Previous research work shows that, the probability of detection is achieved maximum of 0.9 in AWGN channel. In this paper, we propose a new method for capacity maximization by minimizing probability of signal outage. And also increases the probability of detection by increasing sensing time for Rayleigh fading channel. Simulation results show promising performance results of the proposed technique are increased probability of detection and considerably maximizing the channel capacity.