Throughput of Cognitive Radio Network with Collaborative Spectrum Sensing Using Correlated Local Decisions 


Vol. 35,  No. 7, pp. 642-650, Jul.  2010


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  Abstract

Collaborative spectrum sensing allows secondary users scattered in location to work together to detect the activity of primary users and has been shown to significantly reduce the performance degradation due to fading phenomenon. Most previous works on collaborative spectrum sensing are based on the assumption that local spectrum sensing decisions of secondary users are statistically independent. However, it may not hold in some practical situations with shadowing effect. In this paper, we consider the case that the secondary users are evenly spaced in the form of a linear array and only adjacent secondary users are statistically correlated, and analyze the effect of the statistical correlation on the performance of collaborative spectrum sensing and the throughput of a cognitive radio network. Here we assumed the AND and OR fusion rules for combining the local decisions of secondary users. The analysis showed that the AND fusion rule achieves higher throughput than the OR fusion rule.

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  Cite this article

[IEEE Style]

C. Lim, "Throughput of Cognitive Radio Network with Collaborative Spectrum Sensing Using Correlated Local Decisions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 642-650, 2010. DOI: .

[ACM Style]

Chang-Heon Lim. 2010. Throughput of Cognitive Radio Network with Collaborative Spectrum Sensing Using Correlated Local Decisions. The Journal of Korean Institute of Communications and Information Sciences, 35, 7, (2010), 642-650. DOI: .

[KICS Style]

Chang-Heon Lim, "Throughput of Cognitive Radio Network with Collaborative Spectrum Sensing Using Correlated Local Decisions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 7, pp. 642-650, 7. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880