Fuzzy logic based channel selection for mobile secondary users in cognitive radio networks

Abstract

Cognitive radio is a new technology that aims to solve the spectrum scarcity problem. In cognitive radio networks; because secondary users utilize the spectrum in an opportunistic manner, it is crucial not to cause any interference to the primary users. In this work, a new approach for channel assignment to mobile secondary users by means of fuzzy logic is proposed. In the proposed fuzzy logic system; by using input parameters of density, mobility, and noise, channel selection probability is obtained. Density parameter expresses how intense the spectrum is used by primary users. Mobility parameter is a distance among secondary users, primary users, and base station. Noise parameter represents the noise, and other disruptive effects in the spectrum. Channel selection probability shows which frequency band of primary users to use according to the parameters of mobile secondary user. In the proposed system, the most suitable channel selection is provided for mobile secondary users.