Research Article
An Iterative Multiple Primary Users Localization Algorithm Based on Clustering
@INPROCEEDINGS{10.1109/ChinaCom.2011.6158156, author={Xing Zhiqiang and Li Wei and Han Qiang}, title={An Iterative Multiple Primary Users Localization Algorithm Based on Clustering}, proceedings={6th International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2012}, month={3}, keywords={multiple primary user localization iterative k-mean clustering}, doi={10.1109/ChinaCom.2011.6158156} }- Xing Zhiqiang
Li Wei
Han Qiang
Year: 2012
An Iterative Multiple Primary Users Localization Algorithm Based on Clustering
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2011.6158156
Abstract
Multiple co-channel primary users (PU) existing simultaneously is very common in cognitive radio environments. With the knowledge of the location information of PUs, the cognitive radio can use spectrum-access opportunities more effectively and provides more value-added services. A novel multiple PUs localization algorithm was proposed, which seeks non-cooperative PUs’ position by executing k-mean clustering and iterative operations. Simulation results show that the proposed method achieves better performance than traditional expectation-maximization(EM) algorithm.
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