%0 Electronic Article %A Alireza Maleki %A Davood Mirzahosseini %A Naser Ahmadi Moghaddam %K spectrum sensing %K blind Bayesian framework %K noise uncertainty problem %K spectrum sensing algorithms %K noise variance estimation %K multiple secondary users %K Bayesian-based detection framework %K primary user frequency band %K cognitive radio network %K cooperative Bayesian-based detection framework %K energy detection %X In this study, a cognitive radio network is considered in which multiple secondary users intend to detect a primary user frequency band in order to specify whether it is occupied or not. To this end, a blind Bayesian framework is proposed by which secondary users cooperatively perform spectrum sensing. In practice, it is impossible to estimate the noise variance accurately (noise uncertainty problem) and this can degrade the performance of some previous spectrum sensing algorithms like energy detection (ER). To overcome this issue, unlike the conventional ER, the proposed algorithm utilises marginalisation to eliminate the effect of uncertainty in noise variance estimation. By computer simulations using MATLAB, it can be seen that the authors' algorithm reaches the ideal case for P fa by improving the level of cooperation (increasing the number of secondary users) and yet its P md is also improved compared to ER in practical situations (presence of noise uncertainty). %@ 1751-8628 %T Cooperative Bayesian-based detection framework for spectrum sensing in cognitive radio networks %B IET Communications %D September 2019 %V 13 %N 15 %P 2280-2284 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=3qhkpu2e9u400.x-iet-live-01content/journals/10.1049/iet-com.2019.0353 %G EN