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Performance of weighted fusion based spectrum sensing under double threshold in cognitive radio network

In this paper, two weighted schemes have been investigated under double threshold (DTH) based cooperative spectrum sensing (CSS). Schemes are based on assigning weights to cognitive radio (CR) users such as: (i) weighting as per sensing channel preference and (ii) weighting as per the value of decision statistic is evaluated. The performance is investigated under two different sensing channels namely additive white Gaussian (AWGN) channel and Rayleigh faded channel. The sensing performance has been assessed in terms of missed detection probability for several sensing parameters such as fail sensing probability, number of CRs holding a particular channel and weighting factors. Further, a comparison has been made between the performances of two weighted schemes.