Comparison of Different Weight Assignment Strategy in Weighted Cooperative Spectrum Sensing

Cooperative spectrum sensing is used to overcome limited computing power of individual nodes to correctly estimate existence of primary user in presence of multipath fading, shadowing and receiver uncertainty. However, conventional cooperative spectrum sensing is not reliable in case when users suffer different fading environment. Thus, to enhance the detection probability of the system weighted cooperative spectrum sensing has been introduced. In this paper, use of weighted cooperative sensing in cognitive radio has been discussed. Weight initially assigned is a constant real value which updates in each round. The procedure has been completed in various rounds and in each round the weight depends on the detection in the previous round. Two methods for spectrum sensing have been compared to find which gives better result.