Cooperative Spectrum Sensing with Improved Absolute Value Cumulation Detection Based on Additive Laplacian Noise in Cognitive Radio

Abstract

In this paper, the performance of cooperative spectrum sensing (CSS) with absolute value cumulation detection (AVCD) based improved energy detector (IED) in additive Laplacian noise environment is proposed. Each cognitive radio (CR) uses improved AVCD (i-AVCD) as a test statistic. Decision from each CR is then forwarded to the fusion center (FC) where the final decision on the presence or absence of primary user (PU) is made. Performance of CSS in the form of receiver operating characteristic (ROC) and the total error probability \((P_{\text{e}} )\) is discussed. Besides this, the optimum value of p, optimum number of CRs (n) out of K CRs, and optimum number of K to achieve a specified target total error probability (sum of false alarm probability and missed detection probability is also obtained. Results are presented here using Monte Carlo simulations and it is concluded that by carefully choosing the optimum value of p, performance can be improved in case of CSS with OR rule while the same is not necessarily applicable in case of CSS with AND and majority rule \((n/K)\) rule.