Research Article
Spectrum data mining in the cognitive radio
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256419, author={Feng Ren and Xuemeng Wang and Tao Peng and Chong Ma}, title={Spectrum data mining in the cognitive radio}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={spectrum sensing; data mining; statistic; clustering pattern mining}, doi={10.4108/icst.chinacom.2014.256419} }- Feng Ren
Xuemeng Wang
Tao Peng
Chong Ma
Year: 2015
Spectrum data mining in the cognitive radio
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256419
Abstract
—with the rapid development of wireless communi-cations, 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. According to functional requirement 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.
