Work in progress: Spectrum data mining in the cognitive radio

Abstract

with the rapid development of wireless communications, the ever increasing demand for limited spectrum resources will eventually cause spectrum scarcity problem. Cognitive Radio offers a solution to this problem, which intelligently detect unused spectrum and share it, without harmful interference to primary users. It has been a research hotspot on how to analyze and utilize licensed spectrum to meet the increasing need for bands. Aiming at such a problem, this paper presents a CR system model and then proposes the scheme for spectrum data mining from the large-scale of TV spectrum sensing data. We designed three levels of information mining: statistical information, space clustering, and sequential pattern mining. The simulation results illustrate the effectiveness of the data mining scheme.