Weighted-Collaborative Spectrum Sensing in Cognitive Radio

Cognitive radio is an advanced enabling technology for efficient utilization of under-utilized spectrum since it is able to sense the spectrum and use the frequency when the primary users are absent. Recent investigation suggests that spectrum sensing is compromised when a user experiences fading or shadowing. In order to combat such effects, collaborative sensing is presented. However, the conventional collaborative sensing is not effective when users suffer from different fading environments. In this paper, we propose a weighted-collaborative scheme to improve the spectrum sensing performance under fading environment. The analysis of the simulation results proves that the weighted-collaborative scheme improves sensing performance obviously.