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Open AccessArticle

A Crowd Cooperative Spectrum Sensing Algorithm Using a Non-Ideal Channel

by Xinxin Lv and Qi Zhu *
Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
*
Author to whom correspondence should be addressed.
Algorithms 2018, 11(4), 51; https://doi.org/10.3390/a11040051
Received: 20 March 2018 / Revised: 13 April 2018 / Accepted: 16 April 2018 / Published: 18 April 2018
Spectrum sensing is the prerequisite of the realization of cognitive radio. So it is a significant part of cognitive radio. In order to stimulate the SUs to sense the spectrum, we combine the incentive mechanism of crowd-sensing with cooperative spectrum sensing effectively, and put forward a crowd cooperative spectrum sensing algorithm with optimal utility of secondary users (SUs) under non-ideal channel which we define SUs’ utility expectation functions related to rewards, sensing time and transmission power. Then, we construct the optimization problem of maximizing the utilities of SUs by optimizing the sensing time and the transmission power, and prove that this problem is a convex optimization problem. The optimal sensing time and transmission power are obtained by using the Karush-Kuhn-Tucker (KKT) conditions. The numerical simulation results show that the spectrum detection performance of algorithm, which we put forward, is improved. View Full-Text
Keywords: cognitive radio; spectrum sensing; crowd sensing; detective probability cognitive radio; spectrum sensing; crowd sensing; detective probability
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Lv, X.; Zhu, Q. A Crowd Cooperative Spectrum Sensing Algorithm Using a Non-Ideal Channel. Algorithms 2018, 11, 51.

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