Comparative error rate analysis of cooperative spectrum sensing in non-fading and fading environments

In cognitive radio network spectrum sensing is a fundamental element to detect the presence of primary user. In this paper cooperative spectrum sensing scheme is employed to optimize the performance in fading channel environments. This paper will focus on AWGN, rayleigh and rician fading channels to compare the error rates for `n' number of cognitive users. Neyman's hypothesis testing and data fusion rules are used to satisfy and compare the error bounds in a large network for different values of SNR. Finally error rates are compared by considering different threshold values and keeping the SNR as fixed. This comparative analysis can be extended further for double threshold energy detection scheme.