Effects of Correlated Local Spectrum Sensing Decisions on the Throughput of CR Systems 


Vol. 35,  No. 1, pp. 87-94, Jan.  2010


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  Abstract

It is widely known that cooperative spectrum sensing in which secondary users scattered in some region collaborate to detect primary users can significantly reduce the performance degradation due to the fading phenomenon. Most of previous works on cooperative spectrum sensing are based on the assumption that the local spectrum sensing decisions of secondary users are statistically independent. However, there can be practically some statistical correlation between the local decisions of any two secondary users in close proximity, which is caused by shadowing effect. In order to evaluate the effect of this correlation on the performance of collaborative spectrum sensing, we assumed that, for the case that a primary user are active in the spectrum of interest, any two local decisions are statistically correlated to each other with some level of constant correlation and independent otherwise, and analyzed the achievable throughput with the degree of correlation varying. The results showed that, as the degree of correlation gets higher, the throughput increases for the case of the AND fusion rule and decreases for the OR fusion rule.

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  Cite this article

[IEEE Style]

C. Lim and S. Lee, "Effects of Correlated Local Spectrum Sensing Decisions on the Throughput of CR Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 87-94, 2010. DOI: .

[ACM Style]

Chang-Heon Lim and Sang-Wook Lee. 2010. Effects of Correlated Local Spectrum Sensing Decisions on the Throughput of CR Systems. The Journal of Korean Institute of Communications and Information Sciences, 35, 1, (2010), 87-94. DOI: .

[KICS Style]

Chang-Heon Lim and Sang-Wook Lee, "Effects of Correlated Local Spectrum Sensing Decisions on the Throughput of CR Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 87-94, 1. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880