Adaptive weighted algorithm of cooperative spectrum sensing in cognitive radio networks

Abstract

The algorithm of cooperative spectrum sensing in cognitive radio networks can improve detection probability of frequency spectrum sensing while increase cost of control channel, How to reduce the cost control is one of the key technology of cooperative spectrum sensing. The adaptive mixed weighted algorithm of cooperative spectrum sensing in cognitive radio networks is proposed, the algorithm based on the signal-to-noise ratio of energy detector, and determine the contribution according to a detector signal-to-noise ratio, and allocate a relevant weighted value, reduce the invalid detection and transmission. Results show that the proposed algorithm is improved detection probability, meanwhile, the average number of bits is decrease, reduce perceived control channel overhead.