ChinaCom2009-Wireless Communications and Networking Symposium

Research Article

Statistical Inference in Cognitive Radio Networks

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339970,
    author={Kwang-Cheng Chen and Sheng-Yuan Tu and Chung-Kai Yu},
    title={Statistical Inference in Cognitive Radio Networks},
    proceedings={ChinaCom2009-Wireless Communications and Networking Symposium},
    publisher={IEEE},
    proceedings_a={CHINACOM2009-WCN},
    year={2009},
    month={11},
    keywords={Terms---Cognitive radio cognitive radio networks spectrum sensing cooperative spectrum sensing tomography statistical inference},
    doi={10.1109/CHINACOM.2009.5339970}
}
  • Kwang-Cheng Chen
    Sheng-Yuan Tu
    Chung-Kai Yu
    Year: 2009
    Statistical Inference in Cognitive Radio Networks
    CHINACOM2009-WCN
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339970
Kwang-Cheng Chen1,*, Sheng-Yuan Tu2,*, Chung-Kai Yu2,*
  • 1: Fellow, IEEE,
  • 2: Graduate Institute of Communication Engineering, National Taiwan University, Taiwan R.O.C.
*Contact email: chenkc@cc.ee.ntu.edu.tw, shinetu@santos.ee.ntu.edu.tw, r95942061@ntu.edu.twInvited_Paper

Abstract

Spectrum sensing plays a critical role in cognitive radio technology that has been considered as the key to resolve spectrum shortage in future wireless communications. This paper introduces innovative ideas adopting stastistical inference to obtain information at link level and network level of cognitive radio networks, beyond tradtional detection and estimation techniques. Based on a novel spectrum sensing model, we explore general spectrum sensing to explore new frontier of link-level information for cognitive radio network operation.

Keywords
Terms—Cognitive radio cognitive radio networks spectrum sensing cooperative spectrum sensing tomography statistical inference
Published
2009-11-20
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/CHINACOM.2009.5339970
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