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http://dx.doi.org/10.12673/jkoni.2013.17.5.506

Optimal Spectrum Sensing Framework based on Estimated Miss Detection Probability for Aggregated Data Slots in Cognitive Radio Networks  

Wu, Hyuk (Information & Telecommunication Engineering, Korea Aerospace University)
Lee, Dong-Jun (Information & Telecommunication Engineering, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.17, no.5, 2013 , pp. 506-515 More about this Journal
Abstract
In cognitive radio networks, several research works typically address the framework which consists of a spectrum sensing period and a data transmission period. When the frame period is short, there is the problem that the throughput of secondary users decrease. In this paper, aggregated data slot structure is considered to increase the throughput of secondary users. Chapman-Kolmogorov equation is used for the modeling of the transmission probability of primary users and formulation of an optimization problem to maximize the throughput of secondary users. Solution of the optimization problem results in the optimal spectrum sensing time, the length of data slot and the number of data slots governed by a spectrum sensing.
Keywords
Aggregated data slots; Chapman-Kolmogorov equation; Cognitive radio; Estimated miss detection probability;
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