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http://dx.doi.org/10.7840/kics.2013.38A.10.838

A Spectrum Sensing Scheme Based on Sensing Time Partitioning for High Traffic Environments  

Chae, Keunhong (성균관대학교 정보통신대학)
Yoon, Seokho (성균관대학교 정보통신대학)
Abstract
In this paper, we propose a novel spectrum sensing scheme based on sensing time partitioning for cognitive radio systems in high traffic environments. Specifically, we partition a sensing time into K sub-sections, and then, propose a spectrum sensing scheme that determines if a primary user signal is present based on the sensing results on the partitioned sub-sections. From numerical results, it is confirmed that the proposed scheme outperforms the conventional schemes in high traffic environments.
Keywords
Spectrum sensing; cognitive radio; high traffic environments; sensing time partitioning; detection probability;
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