Research Article
A New Dynamic Spectrum Access Technology Based on the Multi-features Model Clustering in the Cognitive Network
@INPROCEEDINGS{10.1007/978-3-642-29157-9_29, author={Jupeng Li and Zhenhui Tan and Houjin Chen and Cheng Tao}, title={A New Dynamic Spectrum Access Technology Based on the Multi-features Model Clustering in the Cognitive Network}, proceedings={Wireless Communications and Applications. First International Conference, ICWCA 2011, Sanya, China, August 1-3, 2011, Revised Selected Papers}, proceedings_a={ICWCA}, year={2012}, month={5}, keywords={Cognitive radio multi-features model spectrum pooling clustering dynamic spectrum access}, doi={10.1007/978-3-642-29157-9_29} }- Jupeng Li
Zhenhui Tan
Houjin Chen
Cheng Tao
Year: 2012
A New Dynamic Spectrum Access Technology Based on the Multi-features Model Clustering in the Cognitive Network
ICWCA
Springer
DOI: 10.1007/978-3-642-29157-9_29
Abstract
In order to fully utilize the scarce spectrum resources, with the development of cognitive radio technologies, dynamic spectrum access becomes a promising approach to increase the efficiency of spectrum usage. In this paper, we consider the spectrum access in wireless networks with multiple selfish legacy spectrum holders and unlicensed users. In order to improve transmission quality for different cognitive users with various services in the cognitive network, a novel dynamic spectrum access technology based on multi-features model clustering is presented. After the model of the sub-channels extracted, these channels are clustered into different spectrum pools using multi-objective clustering algorithm. These channels in white pools are priority to be accessed for cognitive users. Analysis and simulation results show that the access efficiency of channels can be improved for cognitive users.
