An improved eigenvalue-based algorithm for cooperative spectrum sensing

Miao Yang; Jianping An; Xiangyuan Bu; Lei Sun

doi:10.1109/WICOM.2010.5600819

An improved eigenvalue-based algorithm for cooperative spectrum sensing

Miao Yang^*, Jianping An, Xiangyuan Bu, Lei Sun

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Spectrum sensing is one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.

Original language	English
Title of host publication	2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs	https://doi.org/10.1109/WICOM.2010.5600819
Publication status	Published - 2010
Event	2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China Duration: 23 Sept 2010 → 25 Sept 2010

Publication series

Name	2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Conference

Conference	2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
Country/Territory	China
City	Chengdu
Period	23/09/10 → 25/09/10

Keywords

Cooperative spectrum sensing
Eigenvalues
Random matrix theory
Signal detection

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10.1109/WICOM.2010.5600819

Cite this

Yang, M., An, J., Bu, X., & Sun, L. (2010). An improved eigenvalue-based algorithm for cooperative spectrum sensing. In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 Article 5600819 (2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010). https://doi.org/10.1109/WICOM.2010.5600819

@inproceedings{fe997b2acc72409f8bc96a04bfb0b0fd,

title = "An improved eigenvalue-based algorithm for cooperative spectrum sensing",

abstract = "Spectrum sensing is one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.",

keywords = "Cooperative spectrum sensing, Eigenvalues, Random matrix theory, Signal detection",

author = "Miao Yang and Jianping An and Xiangyuan Bu and Lei Sun",

year = "2010",

doi = "10.1109/WICOM.2010.5600819",

language = "English",

isbn = "9781424437092",

series = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010",

booktitle = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010",

note = "2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 ; Conference date: 23-09-2010 Through 25-09-2010",

}

Yang, M, An, J , Bu, X & Sun, L 2010, An improved eigenvalue-based algorithm for cooperative spectrum sensing. in 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010., 5600819, 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, Chengdu, China, 23/09/10. https://doi.org/10.1109/WICOM.2010.5600819

An improved eigenvalue-based algorithm for cooperative spectrum sensing. / Yang, Miao; An, Jianping ; Bu, Xiangyuan et al.
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010. 2010. 5600819 (2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An improved eigenvalue-based algorithm for cooperative spectrum sensing

AU - Yang, Miao

AU - An, Jianping

AU - Bu, Xiangyuan

AU - Sun, Lei

PY - 2010

Y1 - 2010

N2 - Spectrum sensing is one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.

AB - Spectrum sensing is one of the most challenging issues in cognitive spectrum sensing. In this paper, an improved eigenvalue based algorithm is proposed using Random Matrix Theory. This improved method overcomes the effect of noise uncertainty exiting in other method, for the good nature of Random Matrix Theory. In addition, it has better detecting probability in both AWGN and fading channels. Also in this paper, the thresholds of the algorithm are deduced and calculated. Performance of the proposed algorithm is simulated and analyzed. Compared with MME and LSC method, the results show that it has better performance in detecting probability and the sensing time.

KW - Cooperative spectrum sensing

KW - Eigenvalues

KW - Random matrix theory

KW - Signal detection

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U2 - 10.1109/WICOM.2010.5600819

DO - 10.1109/WICOM.2010.5600819

M3 - Conference contribution

AN - SCOPUS:78549243008

SN - 9781424437092

T3 - 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

BT - 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

T2 - 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Y2 - 23 September 2010 through 25 September 2010

ER -

An improved eigenvalue-based algorithm for cooperative spectrum sensing

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