Soft Combination Schemes for Cooperative Spectrum Sensing in Cognitive Radio Networks

Date Added: Jun 2009
Format: PDF

This paper investigates linear soft combination schemes for cooperative spectrum sensing in cognitive radio networks. The authors propose two weight-setting strategies under different basic optimality criteria to improve the overall sensing performance in the network. The corresponding optimal weights are derived, which are determined by the noise power levels and the received primary user signal energies of multiple cooperative secondary users in the network. However, to obtain the instantaneous measurement of these noise power levels and primary user signal energies with high accuracy is extremely challenging. It can even be infeasible in practical implementations under a low signal-to-noise ratio regime.