A Coalitional Game Based Dynamic Spectrum Sensing Scheme

Huan Huan He; Xing Wei Wang; Min Huang

doi:10.4028/www.scientific.net/AMM.556-562.6094

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562A Coalitional Game Based Dynamic Spectrum Sensing...

A Coalitional Game Based Dynamic Spectrum Sensing Scheme

Abstract:

. In this paper, to help cognitive users conduct fair and efficient spectrum sensing in the heterogeneous wireless environments, a coalitional game based spectrum sensing scheme is proposed. The method of calculating the basic parameters of spectrum sensing is introduced at first, and then the spectrum sensing problem is modeled as a coalitional game with non-transferable utility. A coalition is built with Pareto optimality satisfied, and its procedure is described in details. Simulation results have shown that the proposed scheme is both feasible and effective.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

6094-6101

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.6094

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Online since:

May 2014

Authors:

Huan Huan He*, Xing Wei Wang, Min Huang

Keywords:

Coalitional Game, Cognitive Radio (CR), Dynamic, Spectrum Sensing

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* - Corresponding Author

References

[1] Real-Time Computing Laboratory (RTCL) [EB/OL], http: /kabru. eecs. umich. edu/bin/view.

Google Scholar

[2] Signals and information Group [EB/OL], http: /www. cspl. umd. edu/sig.

Google Scholar

[3] Beibei Wang, Yongle Wu, K.J. Ray Liu. Game theory for cognitive radio networks: An overview[J]. Computer Networks, 2010, 54(14): 2537-2561.

DOI: 10.1016/j.comnet.2010.04.004

Google Scholar

[4] Jaeok Park, Mihaela van der Schaar. The Theory of Intervention Games for Resource Sharing in Wireless Communications[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(1): 165-175.

DOI: 10.1109/jsac.2012.120115

Google Scholar

[5] Jocelyne Elias, Fabio Martignon, Antonio Capone, et al. Non-cooperative spectrum access in cognitive radio networks：A game theoretical model[J]. Computer Networks, 2011, 55(17): 3832-3846.

DOI: 10.1016/j.comnet.2011.07.022

Google Scholar

[6] Ian F. Akyildiz, Brandon F. Lo, Ravikumar Balakrishnan. Cooperative spectrum sensing in cognitive radio networks: A survey [J]. Physical Communication, 2011, 4(1): 40–62.

DOI: 10.1016/j.phycom.2010.12.003

Google Scholar

[7] Stanley B. Lippman. C++ Primer Plus[M]. Beijing: POSTS & TELECOM PRESS, (2012).

Google Scholar

[8] Wei Liu. Proficient in Matlab and C/C++ mixed programming[M]. Beijing: BEIHANG UNIVERSITY PRESS, (2008).

Google Scholar

[9] Konstantinos Koufos, Kalle Ruttik, Riku Jäntti. Distributed Sensing in Multiband Cognitive Networks[J]. IEEE Transactions on Wireless Communications, 2011, 10(5): 1667-1677.

DOI: 10.1109/twc.2011.020111.101528

Google Scholar