Modeling and research of the operation of cognitive radio networks

Abstract

Cognitive radio networks (CRN) have emerged as a promising technology to address the spectrum scarcity problem by allowing unlicensed users to access the licensed spectrum dynamically. The operation process of CRN involves several steps such as spectrum sensing, spectrum decision, and spectrum sharing. This paper provides information on the model and algorithm developed for researching the operation of cognitive radio networks and describes the results of the research. The model is built in the Matlab software environment, and the relevant results of such processes as occupying channels, detecting spectrum holes, freeing channels, adding noise to signals, and suppressing signals in cognitive radio networks are graphically depicted.