Performance Analysis of Spectrum Sensing Using Diversity Technique

Cognitive radio is a novel technology which can efficiently improve the spectrum utilization. Spectrum sensing is one of the most critical components of cognitive radio technology. In this paper, we investigate the performance of spectrum sensing using diversity technique. Energy detection is utilized to check the presence of primary signal. For the case where equal gain combining technique is utilized by secondary user, we derive a closed form expression of detection probability in correlated nonidentical Nakagami-m fading channels, which is a general fading channel model, and then we estimate the diversity gain based on the signal-to-noise-ratio´s moment generating function. Finally, we certify the validity of our theoretical analysis results by Monte-Carlo simulation, and observe the impact of channel correlation on the detection probability.